jlqzzz Goto Github PK

centerformer

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-1

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

centerpoint

Export CenterPoint PonintPillars ONNX Model For TensorRT

centerpoint-1

centerpoint-kitti

centerpointtensorrt

A trt version of CenterPoint model for Lidar Detection

centerpose

Push the Extreme of the pose estimation

cgpn

This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

chainer-pointnet

Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

cia-ssd_tensorrt

class-balanced-grouping-and-sampling-for-point-cloud-3d-object-detection

Winner's Code and Technical Report for the nuScenes 3D Object Detection challenge in WAD, CVPR 2019

clean-pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

clocs

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

clocs_lqs

An implementation of CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection.

closerlook3d

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

cls_kd

'Rethinking Knowledge Distillation via Cross-Entropy' and 'ViTKD: Practical Guidelines for ViT feature knowledge distillation'

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

cmkd

cnn-visualization

CNN可视化、理解CNN

co3

coarse3d

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

cobevt

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

coclr

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

codes-for-pvkd

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

collaborativeperception_paper

A paper list about collaborative perception.

completion3d

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019