Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment
🖥 Github: https://github.com/k-zha14/zoom-vqa
⏩ Paper: https://arxiv.org/pdf/2304.06440v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
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Noisy Correspondence Learning with Meta Similarity Correction
🖥 Github: https://github.com/hhc1997/mscn
⏩ Paper: https://arxiv.org/pdf/2304.06275v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/coco
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Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
🖥 Github: https://github.com/jiahaochen1/calibration
⏩ Paper: https://arxiv.org/pdf/2304.06537v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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Middle Spectrum Grouped Convolution (MSGC)
🖥 Github: https://github.com/hellozhuo/msgc
⏩ Paper: https://arxiv.org/pdf/2304.06305v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
🖥 Github: https://github.com/brainimageanalysis/ici-loss
⏩ Paper: https://arxiv.org/pdf/2304.06229v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/atlas-v2-0
@ArtificialIntelligencedl
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Implementation for CoSDA: Continual Source-Free Domain Adaptation
🖥 Github: https://github.com/fenghz/cosda
⏩ Paper: https://arxiv.org/pdf/2304.06627v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/office-home
@ArtificialIntelligencedl
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RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
🖥 Github: https://github.com/tumftm/radargnn
⏩ Paper: https://arxiv.org/pdf/2304.06547v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
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IDPT: Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
🖥 Github: https://github.com/zyh16143998882/IDPT
⏩ Paper: https://arxiv.org/pdf/2304.07221v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/modelnet
@ArtificialIntelligencedl
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DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
🖥 Github: https://github.com/mk-minchul/dcface
⏩ Paper: https://arxiv.org/pdf/2304.07060v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/ffhq
@ArtificialIntelligencedl
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Byte2Image
🖥 Github: https://github.com/wenyang001/byte2image
⏩ Paper: https://arxiv.org/pdf/2304.06983v1.pdf
@ArtificialIntelligencedl
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Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
🖥 Github: https://github.com/avaapm/stgada
⏩ Paper: https://arxiv.org/pdf/2304.07031v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding
🖥 Github: https://github.com/yuxixie/selfeval-guided-decoding
⏩ Paper: https://arxiv.org/pdf/2305.00633v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/commonsenseqa
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PGrad: Learning Principal Gradients For Domain Generalization
🖥 Github: https://github.com/qdata/pgrad
⏩ Paper: https://arxiv.org/pdf/2305.01134v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/office-home
@ArtificialIntelligencedl
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DiSK: Distilling Scaffolded Knowledge aka Scaffolding a Student to Instill Knowledge
🖥 Github: https://github.com/anilkagak2/DiSK_Distilling_Scaffolded_Knowledge
⏩ Paper: https://openreview.net/pdf?id=N4K5ck-BTT
💨 Dataset: https://paperswithcode.com/dataset/cifar-100
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Local Topological Profile (LTP)
🖥 Github: https://github.com/j-adamczyk/ltp
⏩ Paper: https://arxiv.org/pdf/2305.00724v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/reddit
@ArtificialIntelligencedl
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TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
🖥 Github: https://github.com/prismformore/multi-task-transformer
⏩ Paper: https://openreview.net/pdf?id=-CwPopPJda
💨 Dataset: https://paperswithcode.com/dataset/cityscapes-3d
@ArtificialIntelligencedl
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Discover and Cure: Concept-aware Mitigation of Spurious Correlation
🖥 Github: https://github.com/wuyxin/disc
⏩ Paper: https://arxiv.org/pdf/2305.00650v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/metashift
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Shotgun crystal structure prediction using machine-learned formation energies
🖥 Github: https://github.com/yoshida-lab/XenonPy/blob/master/samples/CSP_with_element_substitution.ipynb
⏩ Paper: https://arxiv.org/pdf/2305.02158v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/materials-project
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Multimodal Data Augmentation for Image Captioning using Diffusion Models
🖥 Github: https://github.com/xiaochr/multimodal-augmentation-image-captioning
⏩ Paper: https://arxiv.org/pdf/2305.01855v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
🖥 Github: https://github.com/daochenzha/neuroshard
⏩ Paper: https://arxiv.org/pdf/2305.01868v1.pdf
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Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity
🖥 Github: https://github.com/fe1ixxu/stratified_mixture_of_experts
⏩ Paper: https://arxiv.org/pdf/2305.02176v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/flores-200
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