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Action Localization

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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.

코드

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

https://github.com/chenmientan/malmen

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Massive Editing for Large Language Models via Meta Learning

https://github.com/chenyirui/gim

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GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

https://github.com/chihyaoma/Activity-Recognition-with-CNN-and-RNN

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TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

https://github.com/chinayi/asformer

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ASFormer: Transformer for Action Segmentation

https://github.com/chinmay5/ms_ida

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Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

https://github.com/cing2/limtr

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LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration

https://github.com/cltl/pepper

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Leolani: a reference machine with a theory of mind for social communication

https://github.com/cmhungsteve/SSTDA

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Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

https://github.com/coderj-one/giraffe-bench

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Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models

https://github.com/coldmanck/VidHOI

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ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos

https://github.com/continental/empirical-bayes-analysis-of-object-trajectory

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An Empirical Bayes Analysis of Object Trajectory Representation Models

https://github.com/coolbay/VSGN

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Video Self-Stitching Graph Network for Temporal Action Localization

https://github.com/coolbay/re2tal

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Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization

https://github.com/cr7anand/neural_temporal_models

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A Neural Temporal Model for Human Motion Prediction

https://github.com/cram3r95/mapfe4mp

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Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction

https://github.com/crashbugger/mindbridge

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MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality

https://github.com/cschoeller/constant_velocity_pedestrian_motion

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What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

https://github.com/cseeyangchen/c2vl

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Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning

https://github.com/csiro-robotics/TCE

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Temporally Coherent Embeddings for Self-Supervised Video Representation Learning

https://github.com/csjfwang/forecast-peft

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Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models

https://github.com/cv-stuttgart/detectiondefenses

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Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow

https://github.com/cvlab-epfl/mvflow

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Multi-view Tracking Using Weakly Supervised Human Motion Prediction

https://github.com/cyfml/opstl

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Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments

https://github.com/czh-98/STAR

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STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting

https://github.com/czhaneva/mst-gcn

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Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

https://github.com/czhaneva/skelemixclr

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Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition

https://github.com/damnull/lagcn

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Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition

https://github.com/daspraty/stg-gradcam

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Towards a geometric understanding of Spatio Temporal Graph Convolution Networks

https://github.com/datamllab/autovideo

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AutoVideo: An Automated Video Action Recognition System

https://github.com/davelailai/sparse-st-gcn

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Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?

https://github.com/david9dragon9/air

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$AIR^2$ for Interaction Prediction

https://github.com/davidpujol/SADA

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SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action Localization

https://github.com/ddz16/TSASPC

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Timestamp-Supervised Action Segmentation from the Perspective of Clustering

https://github.com/ddz16/TUT

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Do we really need temporal convolutions in action segmentation?

https://github.com/decisionforce/mmTransformer

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Multimodal Motion Prediction with Stacked Transformers

https://github.com/deepinmotion/autogcn

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AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search

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