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 926–950 of 2042 papers

Title	Date	Tasks	Status	Hype
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models	Jul 23, 2020	Object Recognition	—Unverified	0
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	Jul 18, 2020	Anomaly DetectionDomain Generalization	—Unverified	0
Adaptive Hierarchical Decomposition of Large Deep Networks	Jul 17, 2020	Deep LearningObject Recognition	—Unverified	0
The Effect of Top-Down Attention in Occluded Object Recognition	Jul 17, 2020	ObjectObject Recognition	—Unverified	0
Do Adversarially Robust ImageNet Models Transfer Better?	Jul 16, 2020	Object RecognitionTransfer Learning	CodeCode Available	1
When and how CNNs generalize to out-of-distribution category-viewpoint combinations	Jul 15, 2020	DiversityObject Recognition	CodeCode Available	1
Hardware Implementation of Hyperbolic Tangent Function using Catmull-Rom Spline Interpolation	Jul 13, 2020	Object Recognitionspeech-recognition	—Unverified	0
Nested Learning For Multi-Granular Tasks	Jul 13, 2020	Face IdentificationObject Recognition	—Unverified	0
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation	Jul 13, 2020	AttributeImage Manipulation	—Unverified	0
Quaternion Capsule Networks	Jul 8, 2020	BenchmarkingObject Recognition	CodeCode Available	0
Single Shot MC Dropout Approximation	Jul 7, 2020	Autonomous DrivingObject Recognition	CodeCode Available	1
Are Labels Always Necessary for Classifier Accuracy Evaluation?	Jul 6, 2020	Object Recognitionregression	—Unverified	0
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks	Jul 2, 2020	Computational EfficiencyImage Reconstruction	—Unverified	0
Parkinson's Disease Detection Using Ensemble Architecture from MR Images	Jul 1, 2020	Decision MakingObject Recognition	—Unverified	0
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency	Jun 30, 2020	Decision MakingObject Recognition	CodeCode Available	0
Fast Training of Deep Networks with One-Class CNNs	Jun 28, 2020	BenchmarkingClassification	—Unverified	0
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion	Jun 28, 2020	image-classificationImage Classification	—Unverified	0
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation Process	Jun 26, 2020	Data AugmentationHandwritten Digit Recognition	CodeCode Available	0
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias	Jun 25, 2020	Object Recognition	CodeCode Available	0
Hierarchically Compositional Tasks and Deep Convolutional Networks	Jun 24, 2020	Object Recognition	—Unverified	0
Object recognition through pose and shape estimation	Jun 23, 2020	Gesture RecognitionObject	—Unverified	0
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation	Jun 23, 2020	Domain AdaptationObject Recognition	—Unverified	0
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification	Jun 22, 2020	Fine-Grained Image ClassificationGeneral Classification	—Unverified	0
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax	Jun 18, 2020	image-classificationImage Classification	CodeCode Available	1
Enhancing Few-Shot Image Classification with Unlabelled Examples	Jun 17, 2020	ClassificationClustering	—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