Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/TencentYoutuResearch/PedestrianDetection-NohNMS

공식 코드

NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

https://github.com/Tenfleques/pBp-edge-detection

공식 코드

A Pseudo-Boolean Polynomials Approach for Image Edge Detection

https://github.com/Tete-Xiao/ReSim

공식 코드

Region Similarity Representation Learning

https://github.com/TheShadow29/zsgnet-pytorch

공식 코드

Zero-Shot Grounding of Objects from Natural Language Queries

https://github.com/TheoDpPro/uav-localization

공식 코드

Leveraging edge detection and neural networks for better UAV localization

https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

공식 코드

On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow

공식 코드

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

https://github.com/Thinklab-SJTU/R3Det_Tensorflow

공식 코드

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/Thinklab-SJTU/S2TLD

공식 코드

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

https://github.com/TianshuXie/Cut-Thumbnail

공식 코드

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

https://github.com/TixXx1337/Federated-Learning-with-Heterogeneous-Data-Handling-for-Robust-Vehicular-Perception

공식 코드

Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection

https://github.com/TobyPDE/FRRN

공식 코드

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

https://github.com/TomG008/SkyNet

공식 코드

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

https://github.com/TotalVariation/Exchanger4SITS

공식 코드

Revisiting the Encoding of Satellite Image Time Series

https://github.com/TotalVariation/Flattenet

공식 코드

FlatteNet: A Simple Versatile Framework for Dense Pixelwise Prediction

https://github.com/ToyotaResearchInstitute/simnet

공식 코드

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

https://github.com/Traffic-X/MonoLSS

공식 코드

MonoLSS: Learnable Sample Selection For Monocular 3D Detection

https://github.com/Traffic-X/Open-TransMind

공식 코드

Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation

https://github.com/TsaiZinan/CoDER_Project_Code

공식 코드

Pre-processing Image using Brightening, CLAHE and RETINEX

https://github.com/TuSimple/TuSimple-DUC

공식 코드

Understanding Convolution for Semantic Segmentation

https://github.com/Tung-I/Dual-awareness-Attention-for-Few-shot-Object-Detection

공식 코드

Dual-Awareness Attention for Few-Shot Object Detection

https://github.com/Tverous/HRCenterNet

공식 코드

HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents

https://github.com/UARK-AICV/TrackGUI

공식 코드

TrackMe:A Simple and Effective Multiple Object Tracking Annotation Tool

https://github.com/UMBCvision/Contextual-Adversarial-Patches

공식 코드

Role of Spatial Context in Adversarial Robustness for Object Detection

https://github.com/USTC-IMCL/Task-driven-Semantic-Coding-via-RL

공식 코드

Task-driven Semantic Coding via Reinforcement Learning

https://github.com/UVA-Computer-Vision-Lab/ovmono3d

공식 코드

Open Vocabulary Monocular 3D Object Detection

https://github.com/Uehwan/SimVODIS

공식 코드

SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

https://github.com/UkcheolShin/CRM_RGBTSeg

공식 코드

Complementary Random Masking for RGB-Thermal Semantic Segmentation

https://github.com/VCCIV/BLVD

공식 코드

BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

https://github.com/VDIGPKU/CBNetV2

공식 코드

CBNet: A Composite Backbone Network Architecture for Object Detection

https://github.com/VDIGPKU/DynamicDet

공식 코드

DynamicDet: A Unified Dynamic Architecture for Object Detection

https://github.com/VDIGPKU/OPANAS

공식 코드

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

https://github.com/VDIGPKU/OpenAD

공식 코드

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

https://github.com/VIPriors/vipriors-challenges-toolkit

공식 코드

VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

https://github.com/VITA-Group/21LPCV-UAV-Solution

공식 코드

E^2TAD: An Energy-Efficient Tracking-based Action Detector

https://github.com/VITA-Group/UAV-NDFT

공식 코드

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

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