Pinned Repositories
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问卷
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
algorithm_course
国科大 算法分析与设计 卜东波 作业答案整理(2016)
Application_kinect_for_windows
zi_wang developed for libarary
av2-api
The official GitHub repository for the Argoverse 2 dataset.
CascadePSP
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
fewshot-segmentation
On the Texture Bias for Few-Shot CNN Segmentation
fully-convolutional-point-network
Fully-Convolutional Point Networks for Large-Scale Point Clouds
SDR
PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.
EDGSCOUT's Repositories
EDGSCOUT/SDR
PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.
EDGSCOUT/av2-api
The official GitHub repository for the Argoverse 2 dataset.
EDGSCOUT/Awesome-Incremental-Learning
Awesome Incremental Learning
EDGSCOUT/Awesome-Occupancy-Network
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
EDGSCOUT/Awesome-Surrounding-Semantic-Occupancy-Prediction
Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy
EDGSCOUT/CMT
Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"
EDGSCOUT/ContrastiveSeg
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
EDGSCOUT/cross_view_transformers
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
EDGSCOUT/ddpm-segmentation
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
EDGSCOUT/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
EDGSCOUT/Deformation-Segmentation
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
EDGSCOUT/edgscout123.github.io
EDGSCOUT/Entity
EntitySeg Toolbox: Towards precise and open-world image segmentation
EDGSCOUT/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
EDGSCOUT/Foveation-Segmentation
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
EDGSCOUT/git_test
for git learning
EDGSCOUT/GracoNet-Object-Placement
Official code for ECCV2022 paper: Learning Object Placement via Dual-path Graph Completion
EDGSCOUT/HardGAN
EDGSCOUT/HiGAN
EDGSCOUT/Learning-with-Selective-Forgetting
This is an official PyTorch impelementation of our paper "Learning with Selective Forgetting" (IJCAI21).
EDGSCOUT/LMDrive
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
EDGSCOUT/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
EDGSCOUT/Multi-Source-APS-ZVOS
(ACM MM 2021 Oral) Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
EDGSCOUT/Multimodal-Aerial-Scene-Recognition
Code for <Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition> (ECCV 2020)
EDGSCOUT/pytorch-energizer
An active learning library for Pytorch based on Pytorch-Lightning.
EDGSCOUT/RCIL
[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation
EDGSCOUT/scout.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
EDGSCOUT/STEm-Seg
This repository contains the official implementation of the paper "STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos"
EDGSCOUT/TopoAL
Adversarial Approach for Road Segmentation
EDGSCOUT/ViTAE-Transformer-Remote-Sensing
The official repo for the paper "An Empirical Study of Remote Sensing Pretraining"