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 1551–1575 of 2042 papers

Title	Date	Tasks	Status	Hype
Is Second-order Information Helpful for Large-scale Visual Recognition?	Mar 23, 2017	Object Recognition	CodeCode Available	0
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields	Mar 20, 2017	Facial Expression RecognitionFacial Expression Recognition (FER)	—Unverified	0
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data	Mar 19, 2017	Object RecognitionWeakly-supervised Learning	CodeCode Available	0
Multilevel Context Representation for Improving Object Recognition	Mar 19, 2017	Data AugmentationObject	—Unverified	0
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning	Mar 19, 2017	object-detectionObject Detection	CodeCode Available	0
Using Human Brain Activity to Guide Machine Learning	Mar 16, 2017	BIG-bench Machine LearningHybrid Machine Learning	—Unverified	0
End-to-end Binary Representation Learning via Direct Binary Embedding	Mar 15, 2017	Image RetrievalObject Recognition	—Unverified	0
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects	Mar 14, 2017	Novel Object DetectionObject	CodeCode Available	0
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets	Mar 14, 2017	Face VerificationObject Recognition	—Unverified	0
Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks	Mar 10, 2017	Object Recognition	—Unverified	0
Object classification in images of Neoclassical furniture using Deep Learning	Mar 7, 2017	ClassificationDeep Learning	—Unverified	0
PathTrack: Fast Trajectory Annotation with Path Supervision	Mar 7, 2017	Multiple Object TrackingObject	—Unverified	0
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation	Mar 5, 2017	Object RecognitionPoint Cloud Registration	CodeCode Available	0
Genetic CNN	Mar 4, 2017	Object Recognition	CodeCode Available	0
Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features	Mar 4, 2017	Object Recognition	—Unverified	0
Evolving Deep Neural Networks	Mar 1, 2017	Deep LearningImage Captioning	CodeCode Available	1
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information	Feb 28, 2017	Image CaptioningMulti-Label Learning	—Unverified	0
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning	Feb 28, 2017	Domain AdaptationObject Recognition	CodeCode Available	0
Synthesising Dynamic Textures using Convolutional Neural Networks	Feb 22, 2017	Object Recognition	—Unverified	0
Scene Recognition by Combining Local and Global Image Descriptors	Feb 21, 2017	Object RecognitionScene Recognition	CodeCode Available	0
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar	Feb 9, 2017	General ClassificationObject Recognition	—Unverified	0
ImageNet MPEG-7 Visual Descriptors - Technical Report	Feb 1, 2017	General Classificationimage-classification	—Unverified	0
Deep Network Guided Proof Search	Jan 24, 2017	Deep LearningGame of Go	—Unverified	0
Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features	Jan 23, 2017	Brain DecodingObject	—Unverified	0
Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras	Jan 20, 2017	Object Recognition	—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