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 1041–1050 of 2042 papers

Title	Date	Tasks	Status
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds	Nov 28, 2021	3D Shape Classificationgraph construction	—Unverified
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks	May 30, 2016	Object RecognitionScene Understanding	—Unverified
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning	Jul 2, 2021	ClassificationObject Recognition	—Unverified
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding	Mar 22, 2024	GPUImage Classification	—Unverified
Parkinson's Disease Detection Using Ensemble Architecture from MR Images	Jul 1, 2020	Decision MakingObject Recognition	—Unverified
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models	Jul 23, 2020	Object Recognition	—Unverified
Parsing Objects at a Finer Granularity: A Survey	Dec 28, 2022	Fine-Grained Visual RecognitionHuman Part Segmentation	—Unverified
Parsing Occluded People	Jun 1, 2014	DiversityObject Recognition	—Unverified
Partial Coherence for Object Recognition and Depth Sensing	Nov 14, 2023	ObjectObject Recognition	—Unverified
Partitioning Large Scale Deep Belief Networks Using Dropout	Aug 28, 2015	BIG-bench Machine LearningGPU	—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