https://github.com/Cogito2012/UString
공식 코드Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CognitiveModeling/Loci
공식 코드Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
https://github.com/CompVis/image2video-synthesis-using-cINNs
공식 코드https://github.com/CompressTeam/TransformCodingInference
공식 코드Feature Map Transform Coding for Energy-Efficient CNN Inference
https://github.com/ControlNet/MARLIN
공식 코드MARLIN: Masked Autoencoder for facial video Representation LearnINg
https://github.com/CryhanFang/CLIP2Video
공식 코드https://github.com/DAVEISHAN/TCLR
공식 코드TCLR: Temporal Contrastive Learning for Video Representation
https://github.com/DLR-RM/3DObjectTracking/tree/master/SRT3D
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/DanceTrack/DanceTrack
공식 코드MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
https://github.com/DaphneAntotsiou/task-oriented-hand-retargeting
공식 코드Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
https://github.com/Darcyddx/Video-LLM
공식 코드https://github.com/DavidZhang73/AssemblyVideoManualAlignment
공식 코드Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
https://github.com/DeLightCMU/ElaborativeRehearsal
공식 코드https://github.com/DeepMC-DCVC/DCVC
공식 코드https://github.com/DeepSportRadar/ball-3d-localization-challenge
공식 코드DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
https://github.com/Deferf/CLIP_Video_Representation
공식 코드https://github.com/DengPingFan/PraNet
공식 코드https://github.com/DengPingFan/S-measure
공식 코드https://github.com/DmZhukov/CrossTask
공식 코드Cross-task weakly supervised learning from instructional videos
https://github.com/Dod-o/VT-SSum
공식 코드VT-SSum: A Benchmark Dataset for Video Transcript Segmentation and Summarization
https://github.com/DrMahdiRezaei/DeepSOCIAL
공식 코드DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
https://github.com/Droliven/DHMP_jittor
공식 코드Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
https://github.com/Droliven/MSRGCN
공식 코드MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
https://github.com/Droliven/SViMo_code
공식 코드SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios
https://github.com/DuNGEOnmassster/VideoGen-of-Thought
공식 코드VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation
https://github.com/EHZ9NIWI7/MSF-GZSSAR
공식 코드Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition
https://github.com/ELEMKEP/bsc_lcs
공식 코드EEG-based Emotional Video Classification via Learning Connectivity Structure
https://github.com/ENSCMA2/flextape
공식 코드"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
https://github.com/Efstathia-Soufleri/PKD
공식 코드Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation
https://github.com/EnVision-Research/MotionDreamer
공식 코드Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning
https://github.com/Epiphqny/VisTR
공식 코드https://github.com/ErezYosef/Video-Reconstruction
공식 코드Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
https://github.com/EscVM/RAMS
공식 코드https://github.com/EvalCrafter/EvalCrafter
공식 코드EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
https://github.com/ExplainableML/ReGaDa
공식 코드Video-adverb retrieval with compositional adverb-action embeddings
https://github.com/FangyunWei/SLRT
공식 코드CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.