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 891–900 of 2042 papers

Title	Date	Tasks	Status
PennSyn2Real: Training Object Recognition Models without Human Labeling	Sep 22, 2020	4kFew-Shot Learning	—Unverified
Angular Luminance for Material Segmentation	Sep 22, 2020	Material RecognitionMaterial Segmentation	—Unverified
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces	Sep 19, 2020	3D Object RecognitionDescriptive	—Unverified
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks	Sep 15, 2020	3D Object RecognitionContinual Learning	CodeCode Available
A Multisensory Learning Architecture for Rotation-invariant Object Recognition	Sep 14, 2020	BenchmarkingObject	—Unverified
Object Recognition for Economic Development from Daytime Satellite Imagery	Sep 11, 2020	Object Recognition	—Unverified
Performance of object recognition in wearable videos	Sep 10, 2020	MarketingObject	—Unverified
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN	Sep 10, 2020	Deep LearningObject Recognition	—Unverified
Binarized Neural Architecture Search for Efficient Object Recognition	Sep 8, 2020	Edge-computingFace Recognition	—Unverified
A Review on Near Duplicate Detection of Images using Computer Vision Techniques	Sep 7, 2020	object-detectionObject Detection	—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