Topic: hmdb51 Goto Github
Some thing interesting about hmdb51
Some thing interesting about hmdb51
hmdb51,Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
User: bryanyzhu
hmdb51,This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Organization: csiro-robotics
Home Page: https://csiro-robotics.github.io/TCE-Webpage/
hmdb51,Action Recognition using a two stream CNN architecture with Frames and Optical Flows. Realized using Keras on HMDB51 dataset.
User: gianscuri
hmdb51,Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
User: giocoal
hmdb51,A project on video classification using PyTorch 2.0.
User: johnppinto
Home Page: https://johnpinto-human-activity-recognition-har-video-classifi-03e5d14.hf.space/
hmdb51,Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
User: kevin-ssy
hmdb51,Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset
User: loreimbo
hmdb51,Video Platform for Action Recognition and Object Detection in Pytorch
Organization: michigancog
hmdb51,由视频数据集生成optical flow,frames,warped flow
User: milkcat0904
Home Page: https://github.com/milkcat0904/video-dataset-to-optical-flow
hmdb51,Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]
User: mondalanindya
hmdb51,[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
User: pritamqu
Home Page: https://www.pritamsarkar.com/
hmdb51,[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
User: pritamqu
Home Page: http://pritamsarkar.com/XKD/
hmdb51,Action Recognition Using CNN + Bidirectional RNN
User: reshalfahsi
hmdb51,Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
User: sjenni
Home Page: https://sjenni.github.io/temporal-ssl/
hmdb51,Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
User: titania7777
hmdb51,Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
User: vra
hmdb51,PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
User: wgcban
Home Page: https://www.wgcban.com/research#h.wgch37qlgaku
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