Jo-wang

paper-reading

深度学习经典、新论文逐段精读

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile which updates in real time

ChatGPT_DAN

ChatGPT DAN, Jailbreaks prompt

nuscenes-devkit

The devkit of the nuScenes dataset.

chemprop

Message Passing Neural Networks for Molecule Property Prediction

TPVFormer

[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

ICCV-2023-Papers

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

Awesome_Prompting_Papers_in_Computer_Vision

A curated list of prompt-based paper in computer vision and vision-language learning.

gnn-model-explainer

gnn explainer

SurroundOcc

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

CVPR2023-3D-Occupancy-Prediction

CVPR2023-Occupancy-Prediction-Challenge

Occ3D

RoboBEV

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

Robo3D

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

OpenScene

3D Occupancy Prediction Benchmark in Autonomous Driving

OpenOcc

Open Source 3D Occupancy Prediction Library.

3D_Corruptions_AD

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

V3Det

SHIP

Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"

POP3D

Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"

GAM

The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".

SAGM

The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization

hpc-docs

awesome-Occupancy-research

Papers on occupation, including monocular and multi-view in autonomous driving scenarios

GTP-ViT

This is the official code for paper: Token Summarisation for Efficient Vision Transformers via Graph-based Token Propagation

CIFAR-10-W

CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis

UAP_VLP

Universal Adversarial Perturbations for Vision-Language Pre-trained Models

odd-vod

Series-ly-Mathematical

A series of serious math tutorials for time series 📈