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 4301–4350 of 10420 papers

TitleStatusHype
Associative TransformerCode0
Continual and Multi-Task Architecture SearchCode0
How to Use Dropout Correctly on Residual Networks with Batch NormalizationCode0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Continual Contrastive Learning for Image ClassificationCode0
How transfer learning is used in generative models for image classification: improved accuracyCode0
From Xception to NEXcepTion: New Design Decisions and Neural Architecture SearchCode0
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural NetworksCode0
Human-in-the-Loop Visual Re-ID for Population Size EstimationCode0
Associative Alignment for Few-shot Image ClassificationCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Context-Gated ConvolutionCode0
FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed CapsulesCode0
How Do Training Methods Influence the Utilization of Vision Models?Code0
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated LearningCode0
Why Random Pruning Is All We Need to Start SparseCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
How Flawed Is ECE? An Analysis via Logit SmoothingCode0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Fully Convolutional Architectures for Multi-Class Segmentation in Chest RadiographsCode0
FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language ModelsCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
Fully trainable Gaussian derivative convolutional layerCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Fractional Max-PoolingCode0
FractalNet: Ultra-Deep Neural Networks without ResidualsCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Continual Learning with Deep Streaming Regularized Discriminant AnalysisCode0
Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGACode0
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networksCode0
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature MapsCode0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Histogram Layers for Neural Engineered FeaturesCode0
High Definition image classification in Geoscience using Machine LearningCode0
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action RecognitionCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak LabelsCode0
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active LearningCode0
Fossil Image Identification using Deep Learning Ensembles of Data Augmented MultiviewsCode0
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion ReductionCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
Continuous Meta-Learning without TasksCode0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Show:102550
← PrevPage 87 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