Object Detection
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Benchmarks
COCO test-dev
COCO minival
COCO-O
COCO 2017 val
PASCAL VOC 2007
COCO 2017
CrowdHuman (full body)
CPPE-5
LVIS v1.0 val
Manga109-s 15test
PKU-DDD17-Car
DSEC
SFCHD
GEN1 Detection
SeaDronesSee
UA-DETRAC
UAVDT
MSCOCO
ODinW Full-Shot 13 Tasks
AI-TOD
NAO
PASCAL VOC 2012
TBBR
BigDetection val
EventPed
GRAZPEDWRI-DX
InOutDoor
LVIS v1.0 minival
PeopleArt
STCrowd
KITTI Cars Easy
KITTI Cars Hard
VisDrone-DET2019
Waymo Open Dataset
iSAID
India Driving Dataset
KITTI Cars Moderate
Visual Genome
WaterScenes
WiderPerson
FlickrLogos-32
OoDIS
Pascal VOC to Clipart1K
VEDAI
nuScenes
Drone vs Bird
IndustReal
Manga109
ODinW Full-shot 35 Tasks
OpenImages-v6
PASCAL VOC 10%
PASCAL VOC to Comic2k
PASCAL VOC to Watercolor2k
SA-Det-100k
SIXray
SpaceNet 2
01/01/19679682867
A2D
AODRaw
AquaTrash
BDD100K
BDD100K val
CISOL - Track A - TD-TSR
COCO
COCO val2017
COCO+
CityPersons
Clipart1k
Comic2k
CrowdHuman
DeepTrash
ELEVATER
EVD4UAV
ExDark
Extended TACO-1
Extended TACO-7
FLIR
GMOT-40
GQA
KITTI Cyclists Easy
KITTI Cyclists Hard
KITTI Cyclists Moderate
KITTI Pedestrians Easy
KITTI Pedestrians Hard
LDD
LLVIP
LVIS v1.0
LeukemiaAttri
MJU-Waste
Multispectral Dataset
NII-CU MAPD
Objects365
PASCAL VOC
PASCAL VOC 2007 (15+5)
PASCAL VOC 2012 test
PKU-DDD17-Car
SAR-AIRcraft-1.0
SHEL5K
STN PLAD
SUN-RGBD val
Songdo Vision
SpaceNet 1
TexBiG 2022 test
TexBiG 2023 test
UAVVaste
Watercolor2k
Most implemented
Deep Residual Learning for Image Recognition
YOLOv3: An Incremental Improvement
Focal Loss for Dense Object Detection
YOLO9000: Better, Faster, Stronger
YOLOv4: Optimal Speed and Accuracy of Object Detection
SSD: Single Shot MultiBox Detector
Papers
ByteTraX: Enhancing the ByteTrack Architecture with Optimised Thresholding
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 DetectionTracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion
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 DetectionChannel-Wise and Token-Aware Post-Training Quantization for Visual State Space Duality
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 DetectionTAPe+ML: A Compact Structured Representation for Multi-Task Computer Vision
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 DetectionFeature Recovery for Object Understanding After Irreversible Fire Damage
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 DetectionVague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
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