Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1051–1060 of 2042 papers

Title	Date	Tasks	Status
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems	Nov 23, 2016	BenchmarkingObject	—Unverified
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database	Jun 23, 2021	BenchmarkingClustering	—Unverified
PathTrack: Fast Trajectory Annotation with Path Supervision	Mar 7, 2017	Multiple Object TrackingObject	—Unverified
PennSyn2Real: Training Object Recognition Models without Human Labeling	Sep 22, 2020	4kFew-Shot Learning	—Unverified
People infer recursive visual concepts from just a few examples	Apr 17, 2019	Object Recognition	—Unverified
Perceptual Inductive Bias Is What You Need Before Contrastive Learning	Jan 1, 2025	Contrastive LearningDepth Estimation	—Unverified
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images	Jun 1, 2013	Boundary DetectionContour Detection	—Unverified
Psychophysical-Score: A Behavioral Measure for Assessing the Biological Plausibility of Visual Recognition Models	Oct 16, 2022	Object Recognition	—Unverified
PERCH: Perception via Search for Multi-Object Recognition and Localization	Oct 19, 2015	Heuristic SearchObject Recognition	—Unverified
Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery	Sep 11, 2024	Object Recognition	—Unverified

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified