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 361–370 of 2042 papers

Title	Date	Tasks	Status	Hype
Object Detection based on the Collection of Geometric Evidence	Jun 25, 2023	Combinatorial OptimizationObject	—Unverified	0
DesCo: Learning Object Recognition with Rich Language Descriptions	Jun 24, 2023	Language ModelingLanguage Modelling	CodeCode Available	1
Resume Information Extraction via Post-OCR Text Processing	Jun 23, 2023	Object RecognitionOptical Character Recognition	—Unverified	0
Object Topological Character Acquisition by Inductive Learning	Jun 19, 2023	Inductive LearningObject	—Unverified	0
Sample-Efficient Learning of Novel Visual Concepts	Jun 15, 2023	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	CodeCode Available	0
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information	Jun 10, 2023	ObjectObject Recognition	CodeCode Available	0
EventCLIP: Adapting CLIP for Event-based Object Recognition	Jun 10, 2023	Few-Shot LearningObject	CodeCode Available	1
A newborn embodied Turing test for view-invariant object recognition	Jun 8, 2023	Deep Reinforcement LearningObject Recognition	—Unverified	0
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object	Jun 8, 2023	ObjectObject Recognition	CodeCode Available	0
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex	Jun 6, 2023	ObjectObject Recognition	—Unverified	0

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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