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 1176–1200 of 2042 papers

Title	Date	Tasks	Status
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders	Jul 20, 2019	ObjectObject Recognition	—Unverified
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning	Jul 18, 2019	DecoderGeneralized Zero-Shot Learning	—Unverified
Human Pose Estimation for Real-World Crowded Scenarios	Jul 16, 2019	Data AugmentationObject Recognition	CodeCode Available
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects	Jul 15, 2019	3D Object RecognitionGeneralized Zero-Shot Learning	—Unverified
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching	Jul 5, 2019	3D Object RecognitionObject Recognition	—Unverified
Region-Manipulated Fusion Networks for Pancreatitis Recognition	Jul 3, 2019	Object Recognition	—Unverified
Neural Image Captioning	Jul 2, 2019	Image CaptioningMachine Translation	—Unverified
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network	Jul 1, 2019	Generative Adversarial NetworkImage Retrieval	CodeCode Available
NetTailor: Tuning the Architecture, Not Just the Weights	Jun 29, 2019	Continual LearningObject Recognition	CodeCode Available
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching	Jun 29, 2019	Object RecognitionPoint Cloud Registration	—Unverified
A shallow residual neural network to predict the visual cortex response	Jun 27, 2019	Object Recognition	—Unverified
Topology Maintained Structure Encoding	Jun 26, 2019	Image SegmentationObject Recognition	—Unverified
Mutual exclusivity as a challenge for deep neural networks	Jun 24, 2019	Lifelong learningMachine Translation	—Unverified
Integrating Knowledge and Reasoning in Image Understanding	Jun 24, 2019	Object RecognitionQuestion Answering	—Unverified
Intrinsic dimension estimation for locally undersampled data	Jun 18, 2019	Object Recognition	CodeCode Available
MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks	Jun 15, 2019	3D Object RecognitionObject Recognition	—Unverified
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning	Jun 7, 2019	Few-Shot LearningGeneralized Few-Shot Learning	CodeCode Available
Learning Representations of Graph Data -- A Survey	Jun 7, 2019	Graph Embeddingimage-classification	—Unverified
Does Object Recognition Work for Everyone?	Jun 6, 2019	ObjectObject Recognition	—Unverified
Farm land weed detection with region-based deep convolutional neural networks	Jun 5, 2019	Data AugmentationObject	—Unverified
Adaptation Across Extreme Variations using Unlabeled Domain Bridges	Jun 5, 2019	Domain AdaptationObject Recognition	—Unverified
Efficient Codebook and Factorization for Second Order Representation Learning	Jun 5, 2019	Image RetrievalObject Recognition	—Unverified
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition	Jun 4, 2019	3D Object RecognitionClustering	CodeCode Available
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images	Jun 3, 2019	3D Object RecognitionGenerative Adversarial Network	—Unverified
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis	Jun 1, 2019	3D Object Classification3D 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