Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
- pytorch
- semantic-segmentation
- scene-recognition
- ade20k
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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
The Places365-CNNs for Scene Classification
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Source code for the LabelMe annotation tool.
Real-time and accurate open-vocabulary end-to-end object detection