VDIGPKU

M2Det. M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

DrivingGaussian. [CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

CBNet_caffe. Composite Backbone Network (AAAI20)

CBNetV2. [TIP 2022] CBNetV2: A Composite Backbone Network Architecture for Object Detection

GALA3D. [ICML 2024] GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

RCBEVDet. [CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection

CFENet. Comprehensive Feature Enhancement Module for Single-Shot Object Detector

DADA. [ECCV 2020] DADA: Differentiable Automatic Data Augmentation

DynamicDet. [CVPR 2023] DynamicDet: A Unified Dynamic Architecture for Object Detection

T-SEA. [CVPR 2023] T-SEA: Transfer-based Self-Ensemble Attack on Object Detection

CMUA-Watermark. [AAAI 2022] CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes

BEV-MAE. [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

CBNet_pytorch. CBNet implementation based on mmdetection (AAAI 2020)

OpenAD. [NeurIPS 2025] OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

HENet. [ECCV 2024] HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras

OPANAS. [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

RPAttack. (ICME2021) RPATTACK: REFINED PATCH ATTACK ON GENERAL OBJECT DETECTORS

QGCN. Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)

EA3D.

R4Det. [CVPR 2026] R4Det: 4D Radar-Camera Fusion for High-Performance 3D Object Detection

STR_TPSearch. Python

TEOcc. [ECAI 2024] TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement

HiDrive. HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving

FlowNAS. [IJCV 2023] FlowNAS: Neural Architecture Search for Optical Flow Estimation

IterNet. Jupyter Notebook

NAS-BNN. The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"

T2VUnlearning. T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models

VL-SAM. [NeurIPS 2024] Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts.

GSTO. official implementation of paper: GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling

ContinualContrastiveLearning. [ICME 2022] Continual Contrastive Learning for Image Classification

AutoOcc.

SReN_MM. Python

SAMPLING. [ICCV 2023] SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image

MixTConv. Python

KnowVal. [CVPR 2026] KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System

DrivingGaussian_plus. JavaScript

BEVFusion. Python

A-quadrilateral-scene-text-detector. Python

FORMULA. [WACV 2023] Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers

VDIGPKU.github.io. CSS

YOLO-NAS-Bench. [CVPR 2026 Workshop Oral] YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictor for YOLO Architecture Search

OpenAD-method. [NeurIPS 2025] OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection