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 1426–1450 of 2042 papers

Title	Date	Tasks	Status
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor	Feb 4, 2018	ObjectObject Detection	—Unverified
Artwork Recognition for Panorama Images Based on Optimized ASIFT and Cubic Projection	Feb 1, 2018	Object Recognition	—Unverified
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks	Jan 29, 2018	image-classificationImage Classification	CodeCode Available
DeepSIC: Deep Semantic Image Compression	Jan 29, 2018	BenchmarkingImage Compression	—Unverified
Faster gaze prediction with dense networks and Fisher pruning	Jan 17, 2018	Gaze EstimationGaze Prediction	CodeCode Available
Image Captioning using Deep Neural Architectures	Jan 17, 2018	Image CaptioningMachine Translation	CodeCode Available
Feature Space Transfer for Data Augmentation	Jan 13, 2018	Data AugmentationDecoder	—Unverified
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
Deep Learning with Logged Bandit Feedback	Jan 1, 2018	counterfactualDeep Learning	—Unverified
Deep Boosting of Diverse Experts	Jan 1, 2018	Object Recognition	—Unverified
Classifier-to-Generator Attack: Estimation of Training Data Distribution from Classifier	Jan 1, 2018	ClassificationFace Recognition	—Unverified
A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor	Dec 29, 2017	3D Object ReconstructionObject Recognition	—Unverified
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks	Dec 28, 2017	Object RecognitionTranslation	CodeCode Available
Improved Inception-Residual Convolutional Neural Network for Object Recognition	Dec 28, 2017	ObjectObject Recognition	—Unverified
Deformable Classifiers	Dec 18, 2017	ObjectObject Recognition	—Unverified
Pointwise Convolutional Neural Networks	Dec 14, 2017	ObjectObject Recognition	CodeCode Available
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review	Dec 11, 2017	Lesion SegmentationMedical Image Analysis	—Unverified
Quantifying Translation-Invariance in Convolutional Neural Networks	Dec 10, 2017	Data AugmentationObject Recognition	—Unverified
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery	Dec 9, 2017	Language ModelingLanguage Modelling	—Unverified
Transformational Sparse Coding	Dec 8, 2017	ObjectObject Recognition	—Unverified
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning	Dec 5, 2017	General Classificationimage-classification	CodeCode Available
Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks	Dec 4, 2017	Object RecognitionScene Understanding	—Unverified
Learning to Segment Moving Objects	Dec 1, 2017	Motion EstimationMotion Segmentation	—Unverified
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks	Dec 1, 2017	Action RecognitionMetric Learning	—Unverified
Label Efficient Learning of Transferable Representations across Domains and Tasks	Nov 30, 2017	Action RecognitionMetric Learning	—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