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 3251–3300 of 10419 papers

TitleStatusHype
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems—0
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks—0
DropKey—0
DropKey for Vision Transformer—0
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels—0
Dropout Distillation for Efficiently Estimating Model Confidence—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dropout with Expectation-linear Regularization—0
Boldness-Recalibration for Binary Event Predictions—0
Diffusion models applied to skin and oral cancer classification—0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
An Effective Fusion Method to Enhance the Robustness of CNN—0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models—0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification—0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
Bit-aware Randomized Response for Local Differential Privacy in Federated Learning—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
Dual adaptive training of photonic neural networks—0
An Effective Anti-Aliasing Approach for Residual Networks—0
Additive Quantization for Extreme Vector Compression—0
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification—0
Difficulty in estimating visual information from randomly sampled images—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification—0
Dual Complementary Dynamic Convolution for Image Recognition—0
Extending Class Activation Mapping Using Gaussian Receptive Field—0
BIRD: Behavior Induction via Representation-structure Distillation—0
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—0
Can a face tell us anything about an NBA prospect? -- A Deep Learning approach—0
Dual Path Transformer with Partition Attention—0
Extensions of regret-minimization algorithm for optimal design—0
Extracting Human Attention through Crowdsourced Patch Labeling—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
Dual-stream Network for Visual Recognition—0
A Closer Look at Prototype Classifier for Few-shot Image Classification—0
Dual Supervised Learning—0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
Dual-Tree Wavelet Packet CNNs for Image Classification—0
1D-Convolutional Capsule Network for Hyperspectral Image Classification—0
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models—0
Differentially Private Video Activity Recognition—0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution—0
Differentially Private Meta-Learning—0
Ancient Coin Classification Using Graph Transduction Games—0
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—0
Dynamic Conditional Networks for Few-Shot Learning—0
3D/2D regularized CNN feature hierarchy for Hyperspectral image 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
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