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 751–760 of 2042 papers

Title	Date	Tasks	Status
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism	Apr 23, 2018	Deep LearningMachine Translation	—Unverified
Face-space Action Recognition by Face-Object Interactions	Jan 17, 2016	Action RecognitionAction Recognition In Still Images	—Unverified
Comparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets	Nov 25, 2024	DiversityObject Recognition	—Unverified
Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation	Mar 23, 2015	ObjectObject Recognition	—Unverified
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks	Aug 22, 2024	Object Recognition	—Unverified
Disentangling Properties of Contrastive Methods	Sep 29, 2021	DisentanglementObject Recognition	—Unverified
Farm land weed detection with region-based deep convolutional neural networks	Jun 5, 2019	Data AugmentationObject	—Unverified
Fashioning with Networks: Neural Style Transfer to Design Clothes	Jul 31, 2017	Image Segmentationobject-detection	—Unverified
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition	Dec 1, 2011	ClassificationGeneral Classification	—Unverified
Disentangled Deep Autoencoding Regularization for Robust Image Classification	Feb 27, 2019	ClassificationGeneral Classification	—Unverified

Show:10 25 50

← PrevPage 76 of 205Next →

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