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 1126–1150 of 2042 papers

Title	Date	Tasks	Status
Machine Learning and Big Scientific Data	Oct 12, 2019	BIG-bench Machine LearningDeep Learning	—Unverified
Rotation-invariant shipwreck recognition with forward-looking sonar	Oct 11, 2019	Object Recognition	—Unverified
Next integrated result modelling for stopping the text field recognition process in a video using a result model with per-character alternatives	Oct 9, 2019	ClusteringObject Recognition	CodeCode Available
Continual Learning in Neural Networks	Oct 7, 2019	Continual LearningObject Recognition	CodeCode Available
Learning Relationships for Multi-View 3D Object Recognition	Oct 1, 2019	3D Object RecognitionObject	—Unverified
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence	Oct 1, 2019	CPUGPU	—Unverified
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition	Oct 1, 2019	AttributeObject	—Unverified
Enhancing Object Detection in Adverse Conditions using Thermal Imaging	Sep 30, 2019	Autonomous DrivingObject	—Unverified
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION	Sep 25, 2019	Domain AdaptationObject Recognition	—Unverified
V1Net: A computational model of cortical horizontal connections	Sep 25, 2019	Boundary Detectionmodel	—Unverified
Salient Explanation for Fine-grained Classification	Sep 25, 2019	ClassificationObject Recognition	—Unverified
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance	Sep 24, 2019	Data AugmentationObject Recognition	CodeCode Available
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction	Sep 22, 2019	Machine TranslationObject Recognition	CodeCode Available
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition	Sep 18, 2019	Activity RecognitionCaption Generation	—Unverified
Task-Aware Monocular Depth Estimation for 3D Object Detection	Sep 17, 2019	3D Object Detection3D Object Recognition	CodeCode Available
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition	Sep 16, 2019	Handwritten Digit RecognitionObject Recognition	—Unverified
A Dual-hierarchy Semantic Graph for Robust Object Recognition	Sep 15, 2019	Object Recognition	—Unverified
Performance Evaluation of Learned 3D Features	Sep 15, 2019	Object Recognition	—Unverified
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs	Sep 13, 2019	AnatomyBIG-bench Machine Learning	CodeCode Available
FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks	Sep 13, 2019	NutritionObject Recognition	CodeCode Available
Recurrent Connectivity Aids Recognition of Partly Occluded Objects	Sep 12, 2019	ObjectObject Recognition	—Unverified
The Natural Tendency of Feed Forward Neural Networks to Favor Invariant Units	Sep 11, 2019	Object Recognition	—Unverified
Foveated Downsampling Techniques	Sep 11, 2019	FoveationObject Recognition	—Unverified
Dual-attention Focused Module for Weakly Supervised Object Localization	Sep 11, 2019	ObjectObject Localization	—Unverified
Significance of feedforward architectural differences between the ventral visual stream and DenseNet	Sep 11, 2019	Object Recognition	—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