Syn-Rep-Learn
π₯ Github: https://github.com/google-research/syn-rep-learn
π Paper: https://arxiv.org/pdf/2312.04567v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
π₯ Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Dissecting vocabulary biases in Natural Language Inference datasets through Statistical testing approach and Automated data augmentation for artifact mitigation
π₯ Github: https://github.com/datngu/nli-artifacts
π Paper: https://arxiv.org/pdf/2312.08747v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/snli
β¨ Tasks: https://paperswithcode.com/task/data-augmentation
@ArtificialIntelligencedl
π₯ Dataset: https://paperswithcode.com/dataset/snli
@ArtificialIntelligencedl
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Exploring the potential of channel interactions for image restoration
π₯ Github: https://github.com/c-yn/ChaIR
π Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
π₯ Dataset: https://paperswithcode.com/dataset/reside
β¨ Tasks: https://paperswithcode.com/task/deblurring
@ArtificialIntelligencedl
π₯ Dataset: https://paperswithcode.com/dataset/reside
@ArtificialIntelligencedl
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Adversarial AutoMixup
π₯ Github: https://github.com/jinxins/adversarial-automixup
π Paper: https://arxiv.org/pdf/2312.11954v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/cifar-100
β¨ Tasks: https://paperswithcode.com/task/classification-1
@ArtificialIntelligencedl
π₯ Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
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Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
π₯ Github: https://github.com/junwuzhang19/repaint123
π Paper: https://arxiv.org/pdf/2312.13271v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/nerf
@ArtificialIntelligencedl
π₯ Dataset: https://paperswithcode.com/dataset/nerf
@ArtificialIntelligencedl
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An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
π₯ Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
π Paper: https://arxiv.org/pdf/2312.14794v1.pdf
β¨ Tasks: https://paperswithcode.com/task/information-retrieval
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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πViStripformer (Video-Stripformer)
π₯ Github: https://github.com/pp00704831/ViStripformer
π Paper: https://arxiv.org/pdf/2312.14502v1.pdf
β¨ Tasks: https://paperswithcode.com/task/deblurring
π₯Datasets: https://paperswithcode.com/dataset/gopro
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/gopro
@ArtificialIntelligencedl
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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
π₯ Github: https://github.com/OpenDriveLab/LaneSegNet
π Paper: https://arxiv.org/abs/2312.16108v1
π₯Datasets: https://paperswithcode.com/dataset/openlane-v2
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/openlane-v2
@ArtificialIntelligencedl
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https://github.com/owainlewis/awesome-artificial-intelligence
@ArtificialIntelligencedl
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β‘οΈ 500 AI Machine learning Deep learning Computer vision NLP Projects with code
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
@ArtificialIntelligencedl
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
@ArtificialIntelligencedl
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
π₯ Github: https://github.com/IITB-LEAP-OCR/TEXTRON
π Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf
π₯Datasets: https://paperswithcode.com/dataset/docbank
β¨ Tasks: https://paperswithcode.com/task/optical-character-recognition
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/docbank
@ArtificialIntelligencedl
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TinyLlama-1.1B
π₯ Github: https://github.com/jzhang38/tinyllama
π Paper: https://arxiv.org/pdf/2401.02385v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@ArtificialIntelligencedl
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Sign Language Understanding
π₯ Github: https://github.com/FangyunWei/SLRT
π Paper: https://arxiv.org/pdf/2401.05336v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
@ArtificialIntelligencedl
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ViQuAE
π₯ Github: https://github.com/paullerner/viquae
π Paper: https://arxiv.org/pdf/2401.05736v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/cross-modal-retrieval
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
π₯ Github: https://github.com/kaistai/prometheus-vision
π Paper: https://arxiv.org/abs/2401.06591v1
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
@ArtificialIntelligencedl
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
π₯ Github: https://github.com/kai422/iart
π Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf
π₯Datasets: https://paperswithcode.com/task/video-super-resolution
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/task/video-super-resolution
@ArtificialIntelligencedl
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CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion
π₯ Github: https://github.com/haha-lisa/creativesynth
π Paper: https://arxiv.org/pdf/2401.14066v1.pdf
β¨ Tasks: https://paperswithcode.com/task/image-generation
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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pix2gestalt: Amodal Segmentation by Synthesizing Wholes
π₯ Github: https://github.com/cvlab-columbia/pix2gestalt
π Paper: https://arxiv.org/pdf/2401.14398v1.pdf
β¨ Tasks: https://paperswithcode.com/task/3d-reconstruction
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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