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 1401–1425 of 2042 papers

Title	Date	Tasks	Status	Hype
Do deep nets really need weight decay and dropout?	Feb 20, 2018	Data AugmentationObject Recognition	CodeCode Available	0
Scenarios: A New Representation for Complex Scene Understanding	Feb 16, 2018	Image RetrievalObject Recognition	—Unverified	0
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning	Feb 15, 2018	Incremental LearningObject Recognition	CodeCode Available	0
Deep Predictive Coding Network for Object Recognition	Feb 13, 2018	image-classificationImage Classification	—Unverified	0
Learning Inductive Biases with Simple Neural Networks	Feb 8, 2018	Inductive BiasObject Recognition	CodeCode Available	0
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System	Feb 7, 2018	ClassificationGeneral Classification	—Unverified	0
Recent Advances in Neural Program Synthesis	Feb 7, 2018	Object RecognitionProgram induction	CodeCode Available	0
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor	Feb 4, 2018	ObjectObject Detection	—Unverified	0
Artwork Recognition for Panorama Images Based on Optimized ASIFT and Cubic Projection	Feb 1, 2018	Object Recognition	—Unverified	0
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks	Jan 29, 2018	image-classificationImage Classification	CodeCode Available	0
DeepSIC: Deep Semantic Image Compression	Jan 29, 2018	BenchmarkingImage Compression	—Unverified	0
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations	Jan 24, 2018	Adversarial AttackDepth Estimation	CodeCode Available	1
Image Captioning using Deep Neural Architectures	Jan 17, 2018	Image CaptioningMachine Translation	CodeCode Available	0
Faster gaze prediction with dense networks and Fisher pruning	Jan 17, 2018	Gaze EstimationGaze Prediction	CodeCode Available	0
Feature Space Transfer for Data Augmentation	Jan 13, 2018	Data AugmentationDecoder	—Unverified	0
LSD-Net: Look, Step and Detect for Joint Navigation and Multi-View Recognition with Deep Reinforcement Learning	Jan 1, 2018	Deep Reinforcement LearningGeneral Classification	—Unverified	0
Deep Boosting of Diverse Experts	Jan 1, 2018	Object Recognition	—Unverified	0
Deep Learning with Logged Bandit Feedback	Jan 1, 2018	counterfactualDeep Learning	—Unverified	0
Classifier-to-Generator Attack: Estimation of Training Data Distribution from Classifier	Jan 1, 2018	ClassificationFace Recognition	—Unverified	0
A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor	Dec 29, 2017	3D Object ReconstructionObject Recognition	—Unverified	0
Improved Inception-Residual Convolutional Neural Network for Object Recognition	Dec 28, 2017	ObjectObject Recognition	—Unverified	0
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks	Dec 28, 2017	Object RecognitionTranslation	CodeCode Available	0
Deformable Classifiers	Dec 18, 2017	ObjectObject Recognition	—Unverified	0
Pointwise Convolutional Neural Networks	Dec 14, 2017	ObjectObject Recognition	CodeCode Available	0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review	Dec 11, 2017	Lesion SegmentationMedical Image Analysis	—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