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endoslam

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

endovis2019

action, phase and instrument

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

indoor-sfmlearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

mtrcnet-cl

myssd_pytorch

使用pytorch对SSD进行复现

pointnav-vo

[ICCV2021] The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.

refinedet.pytorch

A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection

retinanet

An implementation of RetinaNet in PyTorch.

retinanet-pytorch

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

simplified_struct2depth

simplified struct2depth in PyTorch

sv-rcnet

tmrnet

[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video