ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression | Paper Citation Record

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This paper cites Variational image compression with a scale hyperprior.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Variational image compression with a scale hyperprior

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This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 2

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This paper cites Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,

Reference 3

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This paper cites Transtic: Transferring transformer-based image compression from human perception to machine perception,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Transtic: Transferring transformer-based image compression from human perception to machine perception,

Reference 4

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This paper cites The jpeg ai standard: Providing efficient human and machine visual data consumption,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression The jpeg ai standard: Providing efficient human and machine visual data consumption,

Reference 5

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Observation d1e9ecfb-da21-4da1-9e99-77cf2d118cb9 · outbound

This paper cites Slimmable multi-task image compression for human and machine vision,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Slimmable multi-task image compression for human and machine vision,

Reference 6

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Observation 6d977e07-3e8c-42ea-85d6-2eef28becc23 · outbound

This paper cites Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation

Reference 7

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This paper cites libwebp,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression libwebp,

Reference 8

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Observation fa61d0ea-4afe-46a5-bd68-d2fbe93b5317 · outbound

This paper cites Slimmable compressive autoencoders for practical neural image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Slimmable compressive autoencoders for practical neural image compression,

Reference 9

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This paper cites Slimmable Neural Networks.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Slimmable Neural Networks

Reference 10

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This paper cites Adanic: Towards practical neural image compression via dynamic transform routing,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Adanic: Towards practical neural image compression via dynamic transform routing,

Reference 11

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Observation c53037ea-1e93-4a6e-972c-09b0d71f9fe1 · outbound

This paper cites Elfic: A learning-based flexible image codec with rate-distortion-complexity optimization,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Elfic: A learning-based flexible image codec with rate-distortion-complexity optimization,

Reference 12

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This paper cites Dag-gnn: Dag structure learning with graph neural networks,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Dag-gnn: Dag structure learning with graph neural networks,

Reference 13

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Observation c91e1566-6b92-460f-b02d-a23634f1d255 · outbound

This paper cites DiBS: Differentiable Bayesian Structure Learning.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression DiBS: Differentiable Bayesian Structure Learning

Reference 14

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This paper cites Basic: Bayesnet structure learning for computational scalable neural image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Basic: Bayesnet structure learning for computational scalable neural image compression,

Reference 15

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This paper cites End-to-end Optimized Image Compression.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression End-to-end Optimized Image Compression

Reference 16

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Observation d81bda35-bbd1-4bf1-a53e-018ab32fa0e5 · outbound

This paper cites Joint Autoregressive and Hierarchical Priors for Learned Image Compression.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Reference 17

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Observation cbcd327f-6bdd-440d-9a6a-0a91472f003e · outbound

This paper cites Context-adaptive entropy model for end- to-end optimized image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Context-adaptive entropy model for end- to-end optimized image compression,

Reference 18

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Observation ac607634-2c4a-400e-9ffa-c1a706e36622 · outbound

This paper cites Density Modeling of Images using a Generalized Normalization Transformation.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Density Modeling of Images using a Generalized Normalization Transformation

Reference 19

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Observation 3b85967a-5472-41f0-b397-3c7c596b34e7 · outbound

This paper cites End- to-end learnt image compression via non-local attention optimization and improved context modeling,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression End- to-end learnt image compression via non-local attention optimization and improved context modeling,

Reference 20

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This paper cites Transformer-based image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Transformer-based image compression,

Reference 21

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Observation a975661a-7c2c-4dbc-93d2-9de4b8d839c1 · outbound

This paper cites Video coding for machines: A paradigm of collaborative compression and intelligent analytics,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Video coding for machines: A paradigm of collaborative compression and intelligent analytics,

Reference 22

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This paper cites Learned Image Compression for Machine Perception.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Learned Image Compression for Machine Perception

Reference 23

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This paper cites End-to-end optimized image compression for multiple machine tasks.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression End-to-end optimized image compression for multiple machine tasks

Reference 24

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 241033392.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 241033392

Reference 25

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Observation d544e4f6-dee8-473f-899c-d56caccab7e4 · outbound

This paper cites Channel-wise autoregressive entropy models for learned image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Channel-wise autoregressive entropy models for learned image compression,

Reference 26

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This paper cites Improving multiple machine vision tasks in the compressed domain,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Improving multiple machine vision tasks in the compressed domain,

Reference 27

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Observation f309e2ab-da78-4a93-890b-dc817a3e93ad · outbound

This paper cites Multistage spatial context models for learned image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Multistage spatial context models for learned image compression,

Reference 28

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This paper cites Checkerboard context model for efficient learned image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Checkerboard context model for efficient learned image compression,

Reference 29

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This paper cites Finite-state autoregressive entropy coding for efficient learned lossless compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Finite-state autoregressive entropy coding for efficient learned lossless compression,

Reference 30

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This paper cites Pilc: Practical image lossless compression with an end-to-end gpu oriented neural framework,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Pilc: Practical image lossless compression with an end-to-end gpu oriented neural framework,

Reference 31

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This paper cites Get the best of the three worlds: Real-time neural image compression in a non-gpu environment,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Get the best of the three worlds: Real-time neural image compression in a non-gpu environment,

Reference 32

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This paper cites Computationally Efficient Neural Image Compression.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Computationally Efficient Neural Image Compression

Reference 33

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This paper cites Exploring structural sparsity in neural image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Exploring structural sparsity in neural image compression,

Reference 34

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Observation 26e38d4c-39eb-4f32-b556-1fac0e8d4f03 · outbound

This paper cites Content Adaptive Optimization for Neural Image Compression.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Content Adaptive Optimization for Neural Image Compression

Reference 35

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 239011955.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 239011955

Reference 36

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Observation d9d5a88f-4612-40dd-a7bd-db822ef7b385 · outbound

This paper cites Universal efficient variable-rate neural image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Universal efficient variable-rate neural image compression,

Reference 37

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This paper cites Optimal structure identification with greedy search,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Optimal structure identification with greedy search,

Reference 38

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This paper cites Learning optimal bayesian networks: A shortest path perspective,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Learning optimal bayesian networks: A shortest path perspective,

Reference 39

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Observation 576962c3-96a4-4457-97b5-4c6f8f2aef2a · outbound

This paper cites Learning bayesian networks from data: An information-theory based approach,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Learning bayesian networks from data: An information-theory based approach,

Reference 40

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Observation d80e0b21-6e4a-4a96-b826-57f6a9410fb7 · outbound

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Content Adaptive Latents and Decoder for Neural Image Compression

Reference 41

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 253448404.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 253448404

Reference 42

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Observation 2b7e83e8-c3de-4ded-b3ea-4fe49da88be1 · outbound

This paper cites Content adaptive checkerboard context model for learned image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Content adaptive checkerboard context model for learned image compression,

Reference 43

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Observation c67c7a7d-a691-4bd6-8daa-e7012dd1b3f5 · outbound

This paper cites Auto-Encoding Variational Bayes.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Auto-Encoding Variational Bayes

Reference 44

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 45

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This paper cites DARTS: Differentiable Architecture Search.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression DARTS: Differentiable Architecture Search

Reference 46

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Observation 6d15edc8-b974-4273-bb12-37bf78280a89 · outbound

This paper cites Exact bayesian structure discovery in bayesian networks,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Exact bayesian structure discovery in bayesian networks,

Reference 47

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Observation 28a47f36-2543-49d7-b599-f32516d60b0e · outbound

This paper cites Dags with no tears: Continuous optimization for structure learning,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Dags with no tears: Continuous optimization for structure learning,

Reference 48

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Observation 0c1d0ca2-d6e7-4fbd-9560-c2df0a1c3559 · outbound

This paper cites Bayesian Structure Learning with Generative Flow Networks.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Bayesian Structure Learning with Generative Flow Networks

Reference 49

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This paper cites Variational inference for monte carlo objectives,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Variational inference for monte carlo objectives,

Reference 50

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Observation 7b46a5d4-f251-42b5-88e9-eaf419893725 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Imagenet: A large-scale hierarchical image database,

Reference 51

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This paper cites Workshop and challenge on learned image compression,.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Workshop and challenge on learned image compression,

Reference 52

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Autoslim: Towards one-shot architecture search for channel numbers,

Reference 53

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 173990379

Reference 54

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Categorical Reparameterization with Gumbel-Softmax

Reference 55

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Efficient and effective context-based convolutional entropy modeling for image compression,

Reference 56

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 195345342

Reference 57

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Kodak lossless true color image suite,

Reference 61

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Microsoft coco: Common objects in context,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:23.990939Z

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 63

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Bpg image format,

Reference 64

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Neural video compression with diverse contexts,

Reference 65

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Here we further provide a PyTorch4-style pseudo-code implementation in Algorithm 1 to clarify the implementation details

Reference 68

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Reference 69

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression This model is a straight- forward 2-layer network comprising Linear and ReLU layers

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:23.686613Z

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Reference 71

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Reference 72

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Reference 73

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Before joining in SJTU, he was with the faculty of the University of Texas Health Science Center at Houston from 2018 to 2019

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:23.817266Z

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 209404937

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:24.842564Z

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Observation 1e668a43-5b0f-421e-ab7c-9ac1bceae2cf · outbound

This paper cites His research interests include time series modeling, graph machine learning, natural language processing, and generative models.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression His research interests include time series modeling, graph machine learning, natural language processing, and generative models

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:23.748588Z

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Observation a04b95fe-b3f0-481a-89ea-5b04cab31395 · outbound

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 244102730

Reference 2021

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ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Available: https://api.semanticscholar.org/CorpusID: 246680031

Reference 2022

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