Row 79889

Row ID: 79889 | Dataset Entry | Axioma AXP Content Repository

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What are some leading-edge CV models (object detection, segmentation etc) that can fit on a relatively mid-tier GPU such as an A4000 or thereabouts. I'm specifically interested in inference on hardware, training is less important.

Something more interesting and performant than say a ResNet or YOLO, doesn't have to be a CNN!

Thanks in advance, just hit me with your ideas

Edit: I neglected to mention that I'm interested in FPGA inference deployment in addition, this is clearly more of a limiting factor than GPU.

Edit: My testing indicates the inference module is generally very lightweight for the majority of current CV models, I'm going to research ways to increase resource utilisation through compiler directives, scheduling and graph optimisations - Thanks!

FieldValue
text What are some leading-edge CV models (object detection, segmentation etc) that can fit on a relatively mid-tier GPU such as an A4000 or thereabouts. I'm specifically interested in inference on hardware, training is less important. Something more interesting and performant than say a ResNet or YOLO, doesn't have to be a CNN! Thanks in advance, just hit me with your ideas Edit: I neglected to mention that I'm interested in FPGA inference deployment in addition, this is clearly more of a limitin…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-24
username_encoded Z0FBQUFBQm5Lak1sUHRvd3FMVWNwVElmOGhYV25rcXJudGxxOU1LVXVBVENxTzZya0xDUEwtSUNEcDRvSVF3QlhpVjhwbG5wMVVza0pTVDFlWVNfUTVLb3kzOW5ZRTZLQ1E9PQ==
url_encoded Z0FBQUFBQm5Lak8xeHFsaFFFN0VLUHUyS1hWbjJKR0U0eHU1RXQ3ZUZtMlpYNlhGaXhOZExzWUlVZmFocXhkUFBhLTFEb3p6NHhpS0NpTjhUTFhuZjJVeDlfZk5zdVNzNnVTc3I5TGxnQ3kyUFkyUjhXUlpoSWN3WXpuVThEUlNIUTl6M3FjaWtZVTROT3BzMDRzbGV0QkpETHYxQzI2dW16Z3V1Rks5V1YtQVZsSXA1TVY2R1RfcnFuMnFjbm9Mc3dHc2lWdFhPTkRIRTY2UTJFYkNLUlZUd3VxQVdqYTF3UT09

Raw Record

{
  "text": "What are some leading-edge CV models (object detection, segmentation etc) that can fit on a relatively mid-tier GPU such as an A4000 or thereabouts. I'm specifically interested in inference on hardware, training is less important.\n\nSomething more interesting and performant than say a ResNet or YOLO, doesn't have to be a CNN!\n\nThanks in advance, just hit me with your ideas\n\nEdit: I neglected to mention that I'm interested in FPGA inference deployment in addition, this is clearly more of a limiting factor than GPU.\n\nEdit: My testing indicates the inference module is generally very lightweight for the majority of current CV models, I'm going to research ways to increase resource utilisation through compiler directives, scheduling and graph optimisations - Thanks!",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1sUHRvd3FMVWNwVElmOGhYV25rcXJudGxxOU1LVXVBVENxTzZya0xDUEwtSUNEcDRvSVF3QlhpVjhwbG5wMVVza0pTVDFlWVNfUTVLb3kzOW5ZRTZLQ1E9PQ==",
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}
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