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 1051–1075 of 2042 papers

Title	Date	Tasks	Status
Towards Contextual Learning in Few-shot Object Classification	Dec 13, 2019	ClassificationFew-Shot Learning	—Unverified
L3DOC: Lifelong 3D Object Classification	Dec 12, 2019	3D geometry3D Object Classification	—Unverified
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos	Dec 12, 2019	Object RecognitionOptical Flow Estimation	—Unverified
Object Recognition with Human in the Loop Intelligent Frameworks	Dec 11, 2019	ObjectObject Recognition	—Unverified
Associative Alignment for Few-shot Image Classification	Dec 11, 2019	ClassificationDomain Adaptation	CodeCode Available
Detecting and Correcting Adversarial Images Using Image Processing Operations	Dec 11, 2019	BIG-bench Machine LearningObject Recognition	—Unverified
Improved Few-Shot Visual Classification	Dec 7, 2019	ClassificationFew-Shot Image Classification	—Unverified
Continual egocentric object recognition	Dec 6, 2019	Active LearningNovelty Detection	CodeCode Available
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement	Dec 6, 2019	ClassificationGeneral Classification	—Unverified
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning	Dec 6, 2019	ObjectObject Recognition	—Unverified
Video to Events: Recycling Video Datasets for Event Cameras	Dec 6, 2019	Object RecognitionSemantic Segmentation	CodeCode Available
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models	Dec 1, 2019	BIG-bench Machine LearningImage Classification	—Unverified
Deliberative Explanations: visualizing network insecurities	Dec 1, 2019	AttributeObject Recognition	CodeCode Available
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance	Nov 30, 2019	3D Object RecognitionObject Recognition	—Unverified
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform	Nov 28, 2019	Object Recognition	—Unverified
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs	Nov 25, 2019	Face RecognitionObject Recognition	—Unverified
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution	Nov 25, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available
Incorporating Textual Evidence in Visual Storytelling	Nov 21, 2019	Object RecognitionStory Generation	—Unverified
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks	Nov 20, 2019	Data AugmentationObject Recognition	—Unverified
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons	Nov 19, 2019	Object Recognition	—Unverified
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data	Nov 18, 2019	Object RecognitionRotated MNIST	—Unverified
Putting visual object recognition in context	Nov 17, 2019	ObjectObject Recognition	CodeCode Available
Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art	Nov 16, 2019	Cultural Vocal Bursts Intensity PredictionObject Recognition	—Unverified
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning	Nov 15, 2019	Lifelong learningObject	CodeCode Available
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors	Nov 11, 2019	Face RecognitionObject	—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