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 411–420 of 2042 papers

Title	Date	Tasks	Status	Score
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition	May 24, 2024	Object Recognition	CodeCode Available	5
Ensemble learning in CNN augmented with fully connected subnetworks	Mar 19, 2020	Ensemble LearningImage Classification	CodeCode Available	5
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition	Aug 11, 2016	ObjectObject Recognition	CodeCode Available	5
BViT: Broad Attention based Vision Transformer	Feb 13, 2022	image-classificationImage Classification	CodeCode Available	5
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks	Sep 15, 2020	3D Object RecognitionContinual Learning	CodeCode Available	5
End-to-End Learning of Representations for Asynchronous Event-Based Data	Apr 17, 2019	ClassificationObject Recognition	CodeCode Available	5
Multi-path Convolutional Neural Networks for Complex Image Classification	Jun 15, 2015	ClassificationGeneral Classification	CodeCode Available	5
Dynamic Rectification Knowledge Distillation	Jan 27, 2022	Edge-computingKnowledge Distillation	CodeCode Available	5
Multiscale Dubuc: A New Similarity Measure for Time Series	Nov 15, 2024	Dynamic Time WarpingObject Recognition	CodeCode Available	5
Do Pre-trained Vision-Language Models Encode Object States?	Sep 16, 2024	Language ModelingLanguage Modelling	CodeCode Available	5

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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