Papers with Code 아카이브

Object Detection

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하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/weiyithu/lidar-distillation

공식 코드

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

https://github.com/weiyithu/surroundocc

공식 코드

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

https://github.com/wencheng-zhu/ckd

공식 코드

CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective

https://github.com/wenchima/miti-detr

공식 코드

Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence

https://github.com/wenguanwang/SODsurvey

공식 코드

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

https://github.com/went-liang/unsniffer

공식 코드

Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects

https://github.com/wenweixu/keras-yolo3

공식 코드

Underwater Fish Detection using Deep Learning for Water Power Applications

https://github.com/wenwenyu/MASTER-pytorch

공식 코드

ICDAR 2021 Competition on Scientific Literature Parsing

https://github.com/wenwenyu/tcm

공식 코드

Turning a CLIP Model into a Scene Text Spotter

https://github.com/wenyyu/Image-Adaptive-YOLO

공식 코드

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

https://github.com/wesleyhsieh0806/ss-prl

공식 코드

Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond

https://github.com/westlake-ai/sema

공식 코드

Switch EMA: A Free Lunch for Better Flatness and Sharpness

https://github.com/whai362/PVT

공식 코드

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

https://github.com/whileherham/calibratedteacher

공식 코드

Calibrated Teacher for Sparsely Annotated Object Detection

https://github.com/whxuuuu/vision-communication-dataset

공식 코드

Computer Vision Aided mmWave Beam Alignment in V2X Communications

https://github.com/wiktormucha/SHARP

공식 코드

SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition

https://github.com/wimh966/QDrop

공식 코드

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

https://github.com/wimlds-trojmiasto/detect-waste

공식 코드

Waste detection in Pomerania: non-profit project for detecting waste in environment

https://github.com/winci-ai/cw-rgp

공식 코드

An Investigation into Whitening Loss for Self-supervised Learning

https://github.com/winci-ai/intl

공식 코드

Modulate Your Spectrum in Self-Supervised Learning

https://github.com/windere/eas-snn

공식 코드

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

https://github.com/winycg/HSAKD

공식 코드

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution

https://github.com/winycg/mcl

공식 코드

Mutual Contrastive Learning for Visual Representation Learning

https://github.com/winycg/self-kd-lib

공식 코드

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

https://github.com/wish44165/ReynoldsFlow

공식 코드

ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport Theorem

https://github.com/wissingchen/vlci

공식 코드

Cross-Modal Causal Intervention for Medical Report Generation

https://github.com/wj-cv/vcp

공식 코드

Visual Consensus Prompting for Co-Salient Object Detection

https://github.com/wkentaro/pytorch-fcn

공식 코드

Priming Neural Networks

https://github.com/wkfdb/marvelovd

공식 코드

MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection

https://github.com/wnzhyee/Feature-Fused-SSD

공식 코드

Feature-Fused SSD: Fast Detection for Small Objects

https://github.com/wofmanaf/SA-Net

공식 코드

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

https://github.com/wokaikaixinxin/OrientedFormer

공식 코드

OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images

https://github.com/wokaikaixinxin/rqformer

공식 코드

RQFormer: Rotated Query Transformer for End-to-End Oriented Object Detection

https://github.com/wongkinyiu/yolov7

공식 코드

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

https://github.com/woodwindhu/dts

공식 코드

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection

https://github.com/word-ky/Edge-TOOLBOX

공식 코드

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.