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 7701–7750 of 10420 papers

TitleStatusHype
BI-MAML: Balanced Incremental Approach for Meta Learning—0
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networksCode0
AlgebraNetsCode0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Attentive Feature Reuse for Multi Task Meta learning—0
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
On Mixup RegularizationCode0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
The Curious Case of Convex Neural Networks—0
Bombus Species Image Classification—0
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks—0
Trade-offs between membership privacy & adversarially robust learning—0
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage—0
Self-Supervised Dynamic Networks for Covariate Shift Robustness—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural NetworksCode0
Discovering Parametric Activation Functions—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
Higher-Order Explanations of Graph Neural Networks via Relevant Walks—0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Content and Context Features for Scene Image Representation—0
A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion—0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Image Classification in the Dark using Quanta Image Sensors—0
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations—0
Probabilistic Structural Latent Representation for Unsupervised EmbeddingCode0
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition—0
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution—0
Polishing Decision-Based Adversarial Noise With a Customized Sampling—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Efficient Neural Vision Systems Based on Convolutional Image Acquisition—0
ADINet: Attribute Driven Incremental Network for Retinal Image Classification—0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector—0
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration—0
Learning Augmentation Network via Influence Functions—0
Latent Domain Learning with Dynamic Residual Adapters—0
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements—0
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers—0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Deep Degradation Prior for Low-Quality Image Classification—0
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers—0
Rethinking Computer-Aided Tuberculosis Diagnosis—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
Show:102550
← PrevPage 155 of 209Next →
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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified