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

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Showing 1101–1150 of 10419 papers

TitleStatusHype
Dynamic Grained Encoder for Vision TransformersCode1
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic CalibrationCode1
DPMLBench: Holistic Evaluation of Differentially Private Machine LearningCode1
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image ClassificationCode1
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Code1
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image ClassificationCode1
Conditional Positional Encodings for Vision TransformersCode1
Dual-Branch Subpixel-Guided Network for Hyperspectral Image ClassificationCode1
Dynamic Graph Message Passing NetworksCode1
Domain Generalization via Gradient SurgeryCode1
Domain-Adversarial Training of Neural NetworksCode1
Do text-free diffusion models learn discriminative visual representations?Code1
Do Input Gradients Highlight Discriminative Features?Code1
Do Deep Networks Transfer Invariances Across Classes?Code1
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Do Vision and Language Encoders Represent the World Similarly?Code1
A graph-transformer for whole slide image classificationCode1
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical ImagesCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
DLME: Deep Local-flatness Manifold EmbeddingCode1
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive ArchitectureCode1
BCN: Batch Channel Normalization for Image ClassificationCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classificationCode1
Better plain ViT baselines for ImageNet-1kCode1
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
Does VLM Classification Benefit from LLM Description Semantics?Code1
A Less Biased Evaluation of Out-of-distribution Sample DetectorsCode1
Active Token MixerCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Beyond Categorical Label Representations for Image ClassificationCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseCode1
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNetCode1
DPT: Deformable Patch-based Transformer for Visual RecognitionCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classificationCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Bias Loss for Mobile Neural NetworksCode1
Revisiting the Importance of Amplifying Bias for DebiasingCode1
DO-Conv: Depthwise Over-parameterized Convolutional LayerCode1
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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