https://github.com/cdjkim/respec
공식 코드ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
Papers with Code 아카이브
Video Retrieval
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The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. Typically, the videos are returned as a ranked list of candidates and scored via document retrieval metrics.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chinmayad/motiondescriptions
공식 코드Diving Deep into the Motion Representation of Video-Text Models
https://github.com/chuhanxx/helping_hand_for_egocentric_videos
공식 코드Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
https://github.com/coin-dataset/annotations
공식 코드https://github.com/computer-vision-in-the-wild/cvinw_readings
공식 코드Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
https://github.com/cuthbertcai/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/damo-nlp-sg/video-llama
공식 코드Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
https://github.com/danieljf24/dual_encoding
공식 코드https://github.com/divraz/TaskSegmentation
공식 코드Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
https://github.com/dmoltisanti/air-cvpr23
공식 코드Learning Action Changes by Measuring Verb-Adverb Textual Relationships
https://github.com/doc-doc/next-gqa
공식 코드Can I Trust Your Answer? Visually Grounded Video Question Answering
https://github.com/dot27/temporal-tessellation
공식 코드Temporal Tessellation: A Unified Approach for Video Analysis
https://github.com/dun-research/3D-CSL
공식 코드3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval
https://github.com/dun-research/drca
공식 코드Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval
https://github.com/easonxiao-888/uvcom
공식 코드https://github.com/elad-amrani/ssml
공식 코드Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
https://github.com/ericashimomoto/parameter-efficient-tvg
공식 코드Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
https://github.com/explainableml/egocvr
공식 코드EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval
https://github.com/fangkaipeng/pros
공식 코드ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
https://github.com/farewellthree/stan
공식 코드Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring
https://github.com/fcakir/mihash
공식 코드https://github.com/fletcherjiang/llmepet
공식 코드Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
https://github.com/foolwood/DRL
공식 코드Disentangled Representation Learning for Text-Video Retrieval
https://github.com/frostinassiky/denoiseloc
공식 코드https://github.com/fsoft-aic/waver
공식 코드https://github.com/fundamentalvision/Uni-Perceiver
공식 코드Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
https://github.com/gbc8181/TISLF
공식 코드https://github.com/gengyuanmax/mevtr
공식 코드https://github.com/gewu-lab/cross-modal-distillation
공식 코드Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
https://github.com/gimpong/WWW22-HCQ
공식 코드Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
https://github.com/gingsi/coot-videotext
공식 코드COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
https://github.com/gkordo/s2vs
공식 코드https://github.com/google-research/google-research/tree/master/socraticmodels
공식 코드Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
https://github.com/google-research/google-research/tree/master/vatt
공식 코드VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
https://github.com/google-research/scenic
공식 코드https://github.com/google/video-localized-narratives
공식 코드Connecting Vision and Language with Video Localized Narratives
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.