oyontalas

ubuntu_init

Ubuntu 20.04, 22.04 快捷安装所需软件

BEVFormer_

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

BoxeR_

Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"

C-language-assignment

大连理工大学 c语言程序设计大作业 课程设计 高分大作业98分

CLIP_

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Deformable-DETR_

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

DianSai2022

DINO_

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

DN-DETR_

[CVPR 2022 Oral] Official implementation of DN-DETR

LMDrive_

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

longformer_

Longformer: The Long-Document Transformer

Mask2Former_

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

MaskDINO_

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

MaskFormer_

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

mobilestereonet_

Lightweight stereo matching network based on MobileNet blocks

OccFormer_

[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

OccupancyDETR_

OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection

Pytorch-UNet_

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

segment-anything_

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Swin-Transformer_

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Symphonies_

Symphonies (Scene-from-Insts): Symphonize 3D Semantic Scene Completion with Contextual Instance Queries

tensor2tensor_

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

vision_transformer_

VoxFormer_

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

VQASynth_

Compose multimodal datasets 🎹

ZoeDepth_

Metric depth estimation from a single image