Papers with Code 아카이브

2D Object Detection

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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/qxgeng/dea-net

공식 코드

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

https://github.com/qy-feng/CRN

공식 코드

Cascaded Revision Network for Novel Object Captioning

https://github.com/qy1994-0919/cfpnet

공식 코드

Centralized Feature Pyramid for Object Detection

https://github.com/qyh-bit/hsod-bit-v2

공식 코드

HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection

https://github.com/r3ab/ttpla_dataset

공식 코드

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

https://github.com/radar-lab/transrad

공식 코드

TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection

https://github.com/radetzkyli/multi-v2x

공식 코드

Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception

https://github.com/radetzkyli/trajyolo-ssd

공식 코드

Unify Change Point Detection and Segment Classification in a Regression Task for Transportation Mode Identification

https://github.com/radlab-sketch/Event-SNN-Resources

공식 코드

Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation

https://github.com/raember/yolov5r_autodidact

공식 코드

Video object detection for privacy-preserving patient monitoring in intensive care

https://github.com/raghavendersahdev/Free-Space

공식 코드

Free Space Estimation using Occupancy Grids and Dynamic Object Detection

https://github.com/ragib-amin-nihal/c2a

공식 코드

UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios

https://github.com/raileye3d/raileye3d_dataset

공식 코드

RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety

https://github.com/rainbow-xiao/olor-aaai-2024

공식 코드

One Step Learning, One Step Review

https://github.com/rainbowluocs/diffusiontrack

공식 코드

DiffusionTrack: Diffusion Model For Multi-Object Tracking

https://github.com/raminaghods/NATS

공식 코드

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

https://github.com/ramtin-ma/videosynopsis-fgs

공식 코드

A Low-Computational Video Synopsis Framework with a Standard Dataset

https://github.com/ranaa-b/OOCS

공식 코드

On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification

https://github.com/ranchosky/oan

공식 코드

Fewer is More: Efficient Object Detection in Large Aerial Images

https://github.com/rango-zhang-hang/ntu-visual-recognition-via-vision-language-model-transfer

공식 코드

M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection

https://github.com/raoyongming/denseclip

공식 코드

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

https://github.com/raoyongming/hornet

공식 코드

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

https://github.com/rapisurazurite/camodiffusion

공식 코드

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

https://github.com/rasd3/3D-Dual-Fusion

공식 코드

3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

https://github.com/rasd3/toda

공식 코드

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection

https://github.com/rashaalshawi/dual-attention-u-net-with-feature-infusion-pushing-the-boundaries-of-multiclass-defect-segmentation

공식 코드

Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation

https://github.com/rayguan97/M3DeTR

공식 코드

M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

https://github.com/rayleizhu/biformer

공식 코드

BiFormer: Vision Transformer with Bi-Level Routing Attention

https://github.com/raymondyeh07/tv_layers_for_cv

공식 코드

Total Variation Optimization Layers for Computer Vision

https://github.com/raysonlaroca/rodosol-alpr-dataset

공식 코드

On the Cross-dataset Generalization in License Plate Recognition

https://github.com/razaimam45/fine-tune-distillation

공식 코드

Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance

https://github.com/razla/patch-of-invisibility

공식 코드

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors

https://github.com/rbgirshick/fast-rcnn

공식 코드

Fast R-CNN

https://github.com/rbgirshick/py-faster-rcnn

공식 코드

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/rbgirshick/voc-dpm

공식 코드

Scene-Specific Pedestrian Detection Based on Parallel Vision

https://github.com/rbturnbull/hespi

공식 코드

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets

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