QuietWoods's repositories
ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
bdd100k
Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper
BDD100k-toolkit
Convert bdd100k dataset to lmdb
bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
CoTNet
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deit
Official DeiT repository
keras-io
Keras documentation, hosted live at keras.io
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
MTLNAS
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
onnx-simplifier
Simplify your onnx model
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
second.pytorch
SECOND for KITTI/NuScenes object detection
SegFormer
Official PyTorch implementation of SegFormer
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
TimeSformer
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite