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Temporal Action Localization

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하위 태스크: 8
평가표: 14
보존된 평가 기록: 125

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/tileb1/motion-prediction-tim

공식 코드

Motion Prediction Using Temporal Inception Module

https://github.com/tinyvision/IPCodec

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Spatiotemporal Entropy Model is All You Need for Learned Video Compression

https://github.com/tkipf/pygcn

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Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tleemann/dpmhp

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Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling

https://github.com/tnbar/tednet

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

https://github.com/tonychenxyz/vit-interpret

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Interpreting and Controlling Vision Foundation Models via Text Explanations

https://github.com/tsinghua-mars-lab/statetransformer

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Large Trajectory Models are Scalable Motion Predictors and Planners

https://github.com/ttgeng233/UniAV

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UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization

https://github.com/ttlzfhy/D-DPCC

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D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

https://github.com/tuantng/simon

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SimOn: A Simple Framework for Online Temporal Action Localization

https://github.com/tuantng/temporalmaxer

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TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization

https://github.com/tumftm/flexcloud

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FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps

https://github.com/ty-97/seletive-volume-mix

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Selective Volume Mixup for Video Action Recognition

https://github.com/typistchen/spikmamba

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SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition

https://github.com/uark-aicv/aoe-net

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AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation

https://github.com/uark-cviu/direcformer

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DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset

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Robust Motion In-betweening

https://github.com/uiuctml/TaskVectorBasis

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Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach

https://github.com/una-dinosauria/human-motion-prediction

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On human motion prediction using recurrent neural networks

https://github.com/uppaal/detox-edit

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Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

https://github.com/usaywook/gin

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GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving

https://github.com/v-iashin/BMT

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A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

https://github.com/v0lta/Complex-gated-recurrent-neural-networks

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Complex Gated Recurrent Neural Networks

https://github.com/vaidehi99/infodeletionattacks

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Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks

https://github.com/valeoai/mf_awta

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Annealed Winner-Takes-All for Motion Forecasting

https://github.com/vhvkhoa/TAPG-AgentEnvNetwork

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ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation

https://github.com/vhvkhoa/tapg-agentenvinteration

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AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation

https://github.com/vicky-wil/remake

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Retrieval-augmented Multilingual Knowledge Editing

https://github.com/vietngth/ph-ensemble-gnn

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Persistent Homology-induced Graph Ensembles for Time Series Regressions

https://github.com/villawang/team-net

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TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding

https://github.com/vishal3477/proactive_imd

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Proactive Image Manipulation Detection

https://github.com/vita-epfl/hybrid-feature-fusion

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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

https://github.com/vita-epfl/multi-transmotion

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Multi-Transmotion: Pre-trained Model for Human Motion Prediction

https://github.com/vita-epfl/pedestrian-transition-dataset

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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

https://github.com/vita-epfl/tarot

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TAROT: Targeted Data Selection via Optimal Transport

https://github.com/vividle/backtal

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Background-Click Supervision for Temporal Action Localization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.