SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7801–7825 of 10420 papers

TitleStatusHype
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism—0
Improving STDP-based Visual Feature Learning with Whitening—0
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers—0
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading—0
Altogether: Image Captioning via Re-aligning Alt-text—0
Adaptive Data Augmentation with Deep Parallel Generative Models—0
Accurate and Efficient Similarity Search for Large Scale Face Recognition—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification—0
Auxiliary Learning by Implicit Differentiation—0
Improving Sample Complexity with Observational Supervision—0
Deep Domain Generalization with Feature-norm Network—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Auxiliary Image Regularization for Deep CNNs with Noisy Labels—0
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
Recent Advances in Convolutional Neural Network Acceleration—0
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles—0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey—0
Robust Contrastive Active Learning with Feature-guided Query Strategies—0
Recent Developments from Attribute Profiles for Remote Sensing Image Classification—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Improving Resnet-9 Generalization Trained on Small Datasets—0
Deep Dependency Networks for Multi-Label Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified