paper-with-me

Object Detection

125개 벤치마크 · 논문 12,160편 · 이 태스크의 논문 보기 →

Benchmarks

COCO test-dev

결과 1125개

COCO minival

결과 1100개

COCO-O

결과 225개

COCO 2017 val

결과 165개

PASCAL VOC 2007

결과 151개

COCO 2017

결과 120개

CrowdHuman (full body)

결과 95개

CPPE-5

결과 80개

LVIS v1.0 val

결과 75개

Manga109-s 15test

결과 75개

PKU-DDD17-Car

결과 70개

DSEC

결과 60개

SFCHD

결과 60개

GEN1 Detection

결과 55개

SeaDronesSee

결과 52개

UA-DETRAC

결과 45개

UAVDT

결과 41개

MSCOCO

결과 40개

AI-TOD

결과 37개

NAO

결과 35개

PASCAL VOC 2012

결과 35개

TBBR

결과 35개

BigDetection val

결과 30개

EventPed

결과 30개

GRAZPEDWRI-DX

결과 30개

InOutDoor

결과 30개

LVIS v1.0 minival

결과 30개

PeopleArt

결과 30개

STCrowd

결과 30개

KITTI Cars Easy

결과 25개

KITTI Cars Hard

결과 25개

VisDrone-DET2019

결과 25개

Waymo Open Dataset

결과 25개

iSAID

결과 25개

India Driving Dataset

결과 20개

KITTI Cars Moderate

결과 20개

Visual Genome

결과 20개

WaterScenes

결과 20개

WiderPerson

결과 20개

FlickrLogos-32

결과 15개

OoDIS

결과 15개

VEDAI

결과 15개

nuScenes

결과 13개

결과 10개

Drone vs Bird

결과 10개

IndustReal

결과 10개

Manga109

결과 10개

OpenImages-v6

결과 10개

PASCAL VOC 10%

결과 10개

PASCAL VOC to Comic2k

결과 10개

SA-Det-100k

결과 10개

SIXray

결과 10개

SpaceNet 2

결과 10개

01/01/19679682867

결과 5개

A2D

결과 5개

AODRaw

결과 5개

AquaTrash

결과 5개

BDD100K

결과 5개

BDD100K val

결과 5개

COCO

결과 5개

COCO val2017

결과 5개

COCO+

결과 5개

CityPersons

결과 5개

Clipart1k

결과 5개

Comic2k

결과 5개

CrowdHuman

결과 5개

DeepTrash

결과 5개

ELEVATER

결과 5개

EVD4UAV

결과 5개

ExDark

결과 5개

Extended TACO-1

결과 5개

Extended TACO-7

결과 5개

FLIR

결과 5개

GMOT-40

결과 5개

GQA

결과 5개

KITTI Cyclists Easy

결과 5개

KITTI Cyclists Hard

결과 5개

LDD

결과 5개

LLVIP

결과 5개

LVIS v1.0

결과 5개

LeukemiaAttri

결과 5개

MJU-Waste

결과 5개

Multispectral Dataset

결과 5개

NII-CU MAPD

결과 5개

Objects365

결과 5개

PASCAL VOC

결과 5개

PASCAL VOC 2012 test

결과 5개

PKU-DDD17-Car

결과 5개

SAR-AIRcraft-1.0

결과 5개

SHEL5K

결과 5개

STN PLAD

결과 5개

SUN-RGBD val

결과 5개

Songdo Vision

결과 5개

SpaceNet 1

결과 5개

TexBiG 2022 test

결과 5개

TexBiG 2023 test

결과 5개

UAVVaste

결과 5개

Watercolor2k

결과 5개

Most implemented

Deep Residual Learning for Image Recognition

2015-12-10 · 구현 484개

YOLOv3: An Incremental Improvement

2018-04-08 · 구현 311개

Focal Loss for Dense Object Detection

2017-08-07 · 구현 234개

YOLO9000: Better, Faster, Stronger

2016-12-25 · 구현 231개

SSD: Single Shot MultiBox Detector

2015-12-08 · 구현 221개

Papers

ByteTraX: Enhancing the ByteTrack Architecture with Optimised Thresholding

2026-09-29 · Thomas A. O'Shea-Wheller arxiv

The ByteTrack algorithm is a widely used and computationally efficient multi-object tracking architecture. Its core innovation lies in the combination of lenient bounding box associations with tracklet similarity matchin…

Multi-Object TrackingObject Detection

Tracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion

2026-09-15 · Mais Mohammed, Sharifa Mohammed, Hanan Awadh, Haneen Bamaas 외 arxiv

Real-time multi-object tracking systems remain highly vulnerable to full and long-term occlusion, where targets temporarily or completely disappear from the camera's field of view. Conventional trackers may terminate tra…

Multiple Object TrackingMulti-Object TrackingObject Detection

Channel-Wise and Token-Aware Post-Training Quantization for Visual State Space Duality

2026-09-15 · Jonghyeon Lim, Changhoon Yim arxiv

State space models (SSMs), particularly Mamba, have emerged as efficient alternatives to attention-based architectures and have been extended to vision through ViM, VMamba, and Visual State Space Duality (VSSD). Yet the …

Semantic SegmentationInstance SegmentationObject Detection

TAPe+ML: A Compact Structured Representation for Multi-Task Computer Vision

2026-09-15 · Sergey Kurinov, Alexey Upatov hf

We present TAPe+ML v3, a compact computer vision system based on TAPe (Theory of Active Perception), a structured representation that encodes relations among perceptual elements before recognition. Instead of operating d…

Instance SegmentationImage ClassificationObject LocalizationObject Detection

Feature Recovery for Object Understanding After Irreversible Fire Damage

2026-09-10 · Aditi Tiwari, Sofia Stoica, Savya Khosla, David Forsyth 외 hf

Objects in post-fire environments often undergo irreversible physical transformations that change their geometry, material state, and visual appearance. Detecting and identifying these remnants is critical for locating h…

Object Detection

Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection

2026-09-09 · Ibrohimjon Muminov, Jihie Kim arxiv

Real-world detectors must often interpret functional or ambiguous prompts, yet conventional models such as YOLO remain restricted to fixed class lists. Even open-vocabulary models like YOLO-World frequently misalign vagu…

Object Detection

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