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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/valterlej/objsentzsar
공식 코드Global Semantic Descriptors for Zero-Shot Action Recognition
https://github.com/varunj/cvpr-vqe
공식 코드https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/vchitect/vbench
공식 코드VBench: Comprehensive Benchmark Suite for Video Generative Models
https://github.com/vectorspacelab/video-xl
공식 코드Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
https://github.com/vghost2008/sportstrack
공식 코드SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes
https://github.com/vhvkhoa/TAPG-AgentEnvNetwork
공식 코드ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
https://github.com/vhvkhoa/tapg-agentenvinteration
공식 코드AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
https://github.com/vicky-wil/remake
공식 코드https://github.com/vidcapbench/vidcapbench
공식 코드VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
https://github.com/video-as-agent/videoagent
공식 코드https://github.com/videocrafter/animate-a-story
공식 코드Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
https://github.com/videonetworks/laps-transformer
공식 코드Long-term Leap Attention, Short-term Periodic Shift for Video Classification
https://github.com/videosyncai/videosync
공식 코드Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization
https://github.com/vidmodex/vidmodex
공식 코드VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
https://github.com/vietngth/ph-ensemble-gnn
공식 코드Persistent Homology-induced Graph Ensembles for Time Series Regressions
https://github.com/villawang/CatNet
공식 코드CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
https://github.com/villawang/team-net
공식 코드TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding
https://github.com/vinairesearch/fsvc-ata
공식 코드Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
https://github.com/vincent-leguen/PhyDNet
공식 코드Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
https://github.com/vincent-zhq/hlv-1k
공식 코드HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding
https://github.com/vincentqqu/e2hqv
공식 코드E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
https://github.com/vishal3477/proactive_imd
공식 코드https://github.com/visinf/dense-ulearn-vos
공식 코드https://github.com/visinf/fldr-vfi
공식 코드Efficient Feature Extraction for High-resolution Video Frame Interpolation
https://github.com/vision-x-nyu/pisa-experiments
공식 코드PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
https://github.com/vision4robotics/ADTrack
공식 코드ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
https://github.com/visionml/pytracking
공식 코드https://github.com/visipedia/caltech-fish-counting
공식 코드The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
https://github.com/visipedia/ssw60
공식 코드Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
https://github.com/visual-ai/prunevid
공식 코드PruneVid: Visual Token Pruning for Efficient Video Large Language Models
https://github.com/vita-epfl/hybrid-feature-fusion
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/vita-epfl/pedestrian-transition-dataset
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/tarot
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.