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

Showing 41514175 of 10420 papers

TitleStatusHype
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Accelerate adversarial training with loss guided propagation for robust image classificationCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Hyperspectral image classification via a random patches networkCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Correlation Congruence for Knowledge DistillationCode0
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer LearningCode0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
A Systematic Study of Bias AmplificationCode0
Correcting the Triplet Selection Bias for Triplet LossCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsCode0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle ClassificationCode0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
HyenaPixel: Global Image Context with ConvolutionsCode0
Human-in-the-Loop Visual Re-ID for Population Size EstimationCode0
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of MultipliersCode0
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped ConvolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified