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From Interference to Stability: Adversarial Reliability Correction for Video Moment Retrieval with Relevance Feedback

sigir26-040 · Full research paper · Hao Liu, Yupeng Hu, Kun Wang, Junchao Wang, Ruping Cao, Yutao Yao, Zilu Cai
Video and Moment Retrieval · 100%
Abstract

Video Moment Retrieval (VMR) aims to retrieve target video moments that correspond to natural language queries. Most existing methods rely on a positive-only assumption that the queried moment always exists within the video, which limits their reliability in practical scenarios. Departing from this restrictive setting, we study Video Moment Retrieval with Relevance Feedback (VMR-RF), which requires models to both retrieve relevant moments and reject irrelevant queries. This task remains challenging due to the following issues: 1) Intrinsic Semantic Interference caused by visually similar but irrelevant moments, and 2) Propagative Decision Irreversibility induced by unidirectional relevance prediction. In light of these, we introduce AdversaRial Reliability cOrrection netWork (ARROW) for VMR-RF. ARROW adopts an active discriminative strategy through two synergetic components: a Gradient-induced Semantic Adversary (GSA) that probes model vulnerabilities by actively amplifying semantic interference, and an Adversarial Reliability Predictor (ARP) that quantifies prediction stability under such interference to effectively suppress unreliable decisions. Extensive experiments validate the effectiveness of ARROW.

Assigned reviewers

#ReviewerMatchWhy (closest evidence publications in the taxonomy)
1 Jianfeng Dong
71
100 Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language (2024) Video and Moment Retrieval
100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval
100 Temporal Sentence Grounding with Relevance Feedback in Videos (2024) Video and Moment Retrieval
2 Huaiwen Zhang
47
100 Debiased Video-Text Retrieval via Soft Positive Sample Calibration (2023) Video and Moment Retrieval
100 Robust Video-Text Retrieval Via Noisy Pair Calibration (2023) Video and Moment Retrieval
100 Sequence-Event Semantic Consistent Learning for Text-to-Motion Retrieval (2025) Video and Moment Retrieval

Area chair

Area chairMatch
Xun Yang 0001 50
Area-chair candidates (5)
Xun Yang 0001 assigned 504 papers
Xiaoye Qu 4915 papers
Hongjin Qian 3312 papers
Chenyan Xiong 3315 papers
Kam-Fai Wong 326 papers

Candidates from the panel ranked by match score

#ReviewerMatchLoadWhy
1 Jianfeng Dong assigned 71 3
100 Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language (2024) Video and Moment Retrieval
100 PRVR: Partially Relevant Video Retrieval (2026) Video and Moment Retrieval
2 Linchao Zhu 64 3
100 Align and Tell: Boosting Text-Video Retrieval With Local Alignment and Fine-Grained Supervision (2023) Video and Moment Retrieval
100 DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval (2024) Video and Moment Retrieval
5 Huaiwen Zhang assigned 47 3
100 Debiased Video-Text Retrieval via Soft Positive Sample Calibration (2023) Video and Moment Retrieval
100 Robust Video-Text Retrieval Via Noisy Pair Calibration (2023) Video and Moment Retrieval
6 Zhe Xu 0009 46 3
100 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization (2024) Video and Moment Retrieval
100 Point-Supervised Video Temporal Grounding (2023) Video and Moment Retrieval
7 Haokun Wen COI: co-author 41 3
45 Pseudo Triplet Guided Few-shot Composed Image Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval
45 A Comprehensive Survey on Composed Image Retrieval (2026) Universal Multimodal Embedding and MLLM Retrieval
8 Haiyang Xu 0001 41 3
100 Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval (2024) Video and Moment Retrieval
100 Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval (2023) Video and Moment Retrieval
9 Junjie Zhou 0001 39 3
100 MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval (2025) Video and Moment Retrieval
46 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding (2025) Video and Temporal Understanding
10 Jinpeng Wang 0002 37 3
100 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning (2025) Video and Moment Retrieval
45 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning (2026) Universal Multimodal Embedding and MLLM Retrieval
11 Jian Lang 37 3
45 Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction (2025) Universal Multimodal Embedding and MLLM Retrieval
45 Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation (2024) Universal Multimodal Embedding and MLLM Retrieval
12 Zheng Zhang 0006 37 3
37 Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing (2024) Cross-Modal Hashing and Quantization
37 Inductive Structure Consistent Hashing via Flexible Semantic Calibration (2021) Cross-Modal Hashing and Quantization
13 Minghui Fang 0002 36 3
45 Multimodal Conditional Retrieval with High Controllability (2025) Universal Multimodal Embedding and MLLM Retrieval
45 Open-Set Cross Modal Generalization via Multimodal Unified Representation (2025) Universal Multimodal Embedding and MLLM Retrieval
14 Liwei Wang 0009 36 3
46 AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning (2025) Video and Temporal Understanding
45 Learning Deep Structure-Preserving Image-Text Embeddings (2016) Universal Multimodal Embedding and MLLM Retrieval
15 Sheng-Chieh Lin 35 3
42 Contextualized Query Embeddings for Conversational Search (2021) Conversational Search and Retrieval
41 Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting (2021) Conversational Search and Retrieval
16 Meiyu Liang 35 3
45 Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval
45 Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval (2024) Universal Multimodal Embedding and MLLM Retrieval
17 Navve Wasserman 34 3
40 DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers (2025) Universal Multimodal Embedding and MLLM Retrieval
40 REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark (2025) Universal Multimodal Embedding and MLLM Retrieval
18 Zihao Yue 34 3
39 OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data (2025) Video and Temporal Understanding
39 Movie101v2: Improved Movie Narration Benchmark (2025) Video and Temporal Understanding
21 Fengling Li 0001 33 3
37 One for more: Structured Multi-Modal Hashing for multiple multimedia retrieval tasks (2023) Cross-Modal Hashing and Quantization
37 Noise-Robust Generative Hashing for Cross-Modal Retrieval (2026) Cross-Modal Hashing and Quantization
22 Xueguang Ma 33 3
38 PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval (2024) Text Embedding and Representation Learning
36 R2LLMs: Retrieval and Ranking with LLMs (2025) Reasoning-Intensive Retrieval and Ranking
23 Xiao Wang 0043 33 3
37 Improving zero-shot retrieval using dense external expansion (2022) Query Reformulation and Expansion
34 ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval (2023) Query Reformulation and Expansion
24 Yanzhao Zhang 33 3
45 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval
45 Towards Text-Image Interleaved Retrieval (2025) Universal Multimodal Embedding and MLLM Retrieval
25 Shengyao Zhuang 33 3
47 Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection (2024) Zero-Shot and Domain Generalization for Retrieval
37 Leveraging LLMs for Unsupervised Dense Retriever Ranking (2024) Query Performance Prediction
26 Huiqiang Jiang 32 3
45 Attentive Mask CLIP (2023) Universal Multimodal Embedding and MLLM Retrieval
45 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents (2025) Conversational Search and Retrieval
27 Ruqing Zhang 0001 32 3
35 Generative Retrieval Meets Multi-Graded Relevance (2024) Generative Retrieval
35 Continual Learning for Generative Retrieval over Dynamic Corpora (2023) Generative Retrieval
29 Xinyu Ma 0001 COI: co-author 31 3
37 Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval (2023) Sparse and Dense Retrieval Encoders
35 Replication and Exploration of Generative Retrieval over Dynamic Corpora (2025) Generative Retrieval
30 Antonio Mallia 31 3
34 Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies (2024) Learned Sparse Retrieval Efficiency
34 Learning Passage Impacts for Inverted Indexes (2021) Learned Sparse Retrieval Efficiency
31 Xinying Qian 31 3
45 Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction (2026) Universal Multimodal Embedding and MLLM Retrieval
45 SMIR: Span-based multi-grained information refinement for joint multimodal entity-relation extraction (2026) Universal Multimodal Embedding and MLLM Retrieval
32 Tingyu Song 31 3
40 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026) Universal Multimodal Embedding and MLLM Retrieval
39 VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025) Video and Temporal Understanding
33 Negar Arabzadeh 30 3
34 Enhanced Retrieval Effectiveness through Selective Query Generation (2024) Query Reformulation and Expansion
34 ReFormeR: Learning and Applying Explicit Query Reformulation Patterns (2026) Query Reformulation and Expansion
34 Jingtao Zhan 30 3
42 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval (2024) Sparse and Dense Retrieval Encoders
35 Scaling Laws For Dense Retrieval (2024) Sparse and Dense Retrieval Encoders
35 Peitian Zhang 30 3
46 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding (2025) Video and Temporal Understanding
36 INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning (2024) LLM-Based Reranking