Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

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/MingiJi/FRSKD

공식 코드

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation

https://github.com/MohamadDabboussi/Multiview-Xray-Matching

공식 코드

Self-Supervised Multiview Xray Matching

https://github.com/MonashAI/LIT

공식 코드

Less is More: Pay Less Attention in Vision Transformers

https://github.com/MrGiovanni/Nested-UNet

공식 코드

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/Muzammal-Naseer/NRP

공식 코드

A Self-supervised Approach for Adversarial Robustness

https://github.com/Mxbonn/anchor_pruning

공식 코드

Anchor Pruning for Object Detection

https://github.com/NC717/DeepRA

공식 코드

DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention

https://github.com/NJU-LHRS/official-CMID

공식 코드

CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding

https://github.com/NJUVISION/rho-vision

공식 코드

Efficient Visual Computing with Camera RAW Snapshots

https://github.com/NUAAXQ/MLCVNet

공식 코드

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN

공식 코드

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

https://github.com/NVlabs/BundleSDF

공식 코드

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

https://github.com/NVlabs/CenterPose

공식 코드

Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image

https://github.com/NVlabs/DICOD

공식 코드

Distilling Image Classifiers in Object Detectors

https://github.com/NVlabs/FasterViT

공식 코드

FasterViT: Fast Vision Transformers with Hierarchical Attention

https://github.com/NVlabs/FocalFormer3D

공식 코드

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

https://github.com/NVlabs/FoundationStereo

공식 코드

FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

https://github.com/NVlabs/GroupViT

공식 코드

GroupViT: Semantic Segmentation Emerges from Text Supervision

https://github.com/NVlabs/wetectron

공식 코드

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

https://github.com/Na-Z/sess

공식 코드

SESS: Self-Ensembling Semi-Supervised 3D Object Detection

https://github.com/NathanUA/BASNet

공식 코드

Boundary-Aware Segmentation Network for Mobile and Web Applications

https://github.com/NathanUA/U-2-Net

공식 코드

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

https://github.com/NatiOfir/SuperPixelFusion

공식 코드

Multispectral image fusion based on super pixel segmentation

https://github.com/Natlem/M-HTCN

공식 코드

Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer

https://github.com/NesterukSergey/segmentation_image_augmentation

공식 코드

Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case

https://github.com/NeurAI-Lab/UniNet

공식 코드

UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks

https://github.com/NeuralSec/Daedalus-attack

공식 코드

Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples

https://github.com/NeuromorphicComputing/S-TEC

공식 코드

Self-Supervised Learning Through Efference Copies

https://github.com/Nightmare-n/UniPAD

공식 코드

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving

https://github.com/OIPLab-DUT/CoNet

공식 코드

Accurate RGB-D Salient Object Detection via Collaborative Learning

https://github.com/OPIXray-author/OPIXray

공식 코드

Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module

https://github.com/OUCVisionGroup/TISC-Net

공식 코드

Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve Modelling

https://github.com/OVAD-Benchmark/ovad-bechmark-code

공식 코드

Open-vocabulary Attribute Detection

https://github.com/OfficialBishal/GeomMaskAttack

공식 코드

Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition

https://github.com/Oleffa/LeagueAI

공식 코드

LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization

https://github.com/OliverRensu/GLSTR

공식 코드

Unifying Global-Local Representations in Salient Object Detection with Transformer

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